Until now, the approach to road safety has primarily focused on analyzing the most common types of injuries based on road user types and crash characteristics. There is a growing consensus to shift the paradigm towards a user-centric approach that considers the specific needs (incl. their diversity) and the behaviours of road users. IMPROVA project will focus on current knowledge regarding the conditions and mechanisms leading to serious injuries of all road user types, and both physical and psychological long-term consequences as well as future scenarios regarding the overall crash occurrence considering changes due to vehicle automatization. IMPROVA will introduce a formula that will predict a likelihood of sustaining LTC. This will allow stakeholders to estimate physical and psychological long-term consequences due to road traffic accidents in a compact manner directly after the crash. HBMs will be specifically upgraded in their capabilities to depict LTC-relevant injury mechanisms. It will be achieved through validation of mode responses against experimental tests and through the development and tailoring of risk curves, using the latest available biomechanical data. Virtual Testing procedures will be developed and demonstrated for future application environments, specifically through the involvement of industrial partners and NCAP labs. IMPROVA network consisting of NCAPs, US, Australian and Asian entities and medical and psychological expert panel group will help the harmonization not only of the knowledge of the long-term consequences but also to harmonize the data collection, evaluation of such injuries leading to LTC and to use appropriate tools validated for this purpose. The communication with regulatory authorities, NCAPs, rescue team and end-user will enable the awareness of the topic and implementation of appropriate countermeasures.
A new collaboration between The Tyre Collective and Transport Research Laboratory. This feasibility will deliver an MVP platform that enables data exchange to reduce vehicle air pollution. To narrow the scope for feasibility, our focus is on commercial freight vehicles, which represent 30 percent of all traffic in central London and make an estimated 281,000 journeys per day. This project assesses market need and develops a first prototype platform that layers data from the vehicle (CAN), from transport data platforms (e.g freight management systems) and transport adjacent data (e.g weather). This is combined with data from The Tyre Collective's proprietary technology that captures tyre and road wear particles (TRWP) at source. The outcome will be a working prototype that will be tested on-vehicle with TRL as a micro-demonstrator to show the potential of our technology.
FleetMind is an ambitious project poised to redefine waste management for local councils in the UK. It tackles the pressing need for more efficient and responsive waste collection services, a challenge magnified by urban growth and changing waste patterns. Traditional collection methods, often rigid and outdated, fail to keep pace with the dynamic demands of modern communities, leading to inefficiencies that strain budgets, the environment, and public satisfaction.
At the heart of FleetMind is a sophisticated Artificial Intelligence (AI) and Machine Learning (ML) framework designed to overhaul the control room operations of waste collection fleets. Rather than relying on static, inflexible systems, FleetMind will leverage real-time data to adapt and optimise waste collection routes and schedules continuously. This data includes a variety of inputs such as collection frequency, traffic conditions, vehicle capacities, and predictive waste generation models. The system's innovation centres on its ability to recalibrate in real-time, ensuring waste collection is both efficient and adaptable.
The project is set to deliver a multitude of benefits:
1. **Cost Reduction:** By enhancing operational efficiency, FleetMind will generate significant savings for local councils. This financial relief could enable reinvestment into community services or potentially reduce waste collection costs for residents.
2. **Resource Optimisation:** With live data analysis, FleetMind will ensure better asset deployment, leading to improved service delivery, such as reduced missed collections and wider coverage.
3. **Environmental Benefits:** Optimised routes and schedules will curtail unnecessary vehicle movement, thereby decreasing emissions and contributing to cleaner air, in line with environmental sustainability goals.
Initiating with Flintshire County Council and Cumberland Council, FleetMind aims to craft a new benchmark in waste management that marries cutting-edge technology with practical application. This collaboration, which includes expertise from Omnia, TRL, and Hodos, is a step towards a more efficient, eco-friendly, and cost-effective future for UK waste services.
Legacy Department of Trade & Industry
Our team is currently completing a study (funded by CCAV & InnovateUK) examining the feasibility of delivering Dedicated Driverless Spaces (DDS) for articulated buses on two five mile sections of the Hertfordshire Essex Rapid Transit (HERT). A key constraint of our current study is that we can only consider fully physically segregated sections of the HERT. This project will focus on the feasibility of unlocking the full potential of autonomous buses through considering mixed traffic environments through Watford and St Albans town centres at either end of the St Albans Abbey Line, to integrate with our physically segregated route.
**AIM-DBW - Development of a universal, ISO26262-compliant Drive-by-Wire platform**
For the UK's Connected and Autonomous Mobility (CAM) industry to grow and reach its potential, affordable solutions must be rapidly developed and certified to address the critical safety elements of an autonomous platform. Although a heavy focus is placed on developing autonomous control software, safety-critical interfacing into an autonomous vehicle is an equally challenging and important area that is largely overlooked.
Affordable end-to-end, universal, CAM drive-by-wire systems, and the safety analysis of that system, remain a critical supply chain gap in the sovereign UK CAM supply chain, with huge implications on reliability, scalability, and time-to-market.
**Project Design**
Building on significant and successful work to date, Aim Technologies proposes an 18-month project to refine their drive-by-wire technology stack, which has been used successfully to deploy platforms to a range of vehicles since 2016, to deliver an ISO26262-compliant, lift-and-shift, drive-by-wire platform. The platform will support the highest full vehicle automation (SAE2 - 5).
Project partner, TRL Limited, in partnership with the UK's leading CAM validation testbed, UTAC, will develop a regulatory framework with specific drive-by-wire testing protocols, which would demonstrate the adherence to ISO26262 and a range of international standards. Aim's platform will then be taken through the test plan under the framework to deliver verification and validation of the platform to the ISO26262 standard, supporting post-project regulatory certification and ultimately commercialisation.
The project will utilise UTAC's world-class CAM testbed, with testing of the platform completed within multiple vehicle prototypes, Cavonix's (subcontracting partner) off-road autonomous 4x4, and Evie Autonomous' (subcontracting partner) Electric Pod.
Titan, Alexander Dennis and TRL will work together to develop and demonstrate an electric steering system for bus and other heavy commercial vehicle applications. An approach will be developed that provides a flexible and cost effective approach to enabling innovative low volume manufacturers to bring autonomous steering features to market quickly and safely.
Advanced safety features will be designed-in from the start and verified through laboratory and proving ground testing with the aim of creating a system that is capable of supporting up to Level 5 autonomy.
A new electric steering system will be designed and manufactured that augments the conventional hydraulic power steering of the demonstrator bus. Taking commands from an automated driver system, this electric steering system will be capable of controlling the steering and providing a level of assistance in case the hydraulic system should fail.
This prototype electric steering system will be fitted to a bus to create a mobile test-bed, enabling the capabilities to be thoroughly tested and demonstrated.
NextAD project will advance the UK supply chain by applying Autonomous Drive System technologies within urban residential roads and rural roads as demand for service and commercialisation grows. By utilising Autonomous Vehicle functionality, we can deliver a safer and securer drive for its occupants, whilst offering a commercially viable platform. This will allow for the UK OEMs and supply chain to target early commercial self-driving vehicle opportunities by solving current and real-world technological challenges in the UK. Consequently, this will reveal technology gaps in the UK which can then be exploited by the UK supply chain
By providing specifications, NextAD will support the anchoring of capability in the UK by building a supply chain ecosystem with aligned objectives, and visibility of performance requirements and needs of OEMs and their multi- operational design domains autonomous drive systems. This will ultimately lead to increased economic performance, highly skilled jobs growth and competitiveness for the UK.
The OEM involved in the project will be able to deliver autonomous drive systems and technologies supported by a UK supply chain, manufactured in a plant based in the UK securing skills and jobs in the UK for years to come. Additionally, supplier partners will solve key technological barriers which are preventing mass commercialisation, by using their expertise in Cyber Security, Interoperability, Pedestrian interaction, and other previous knowledge of how autonomous drive systems works.
This project will take a crucial step towards enabling fully driverless autonomy - the removal of all human operators from an autonomous vehicle.
Full autonomy (SAE Level 4/5), both technically and commercially, necessitates driverless operation without constant human supervision. This project aims to tackle the complex transitory step from the current reliance during field trials on an in-vehicle safety driver to fully remote operation where there is no vehicle occupant. It will build the foundations of fully autonomous operations in public environments, specifically in the domain of autonomous goods delivery.
The project will be led by Oxbotica, whose innovative autonomy software has been extensively trialled on the streets of Birmingham, Oxford and London in previous Innovate UK projects. Our consortium also includes TRL, a global centre for innovation in surface transport and mobility, BSi, the leading UK national standards body, and UKAEA-RACE, a CCAV test bed in Culham, Oxfordshire, with which Oxbotica has a longstanding relationship. The project continues a successful partnership between these entities and introduces Ocado Group, UK based pioneering online grocery technology company, as a future AV fleet operator.
The project has two essential paths of innovation - technical and safety assurance. These paths are of equal importance, both in achieving fully remote operation and in ensuring equivalent functional and operational safety. On the technical path, Oxbotica will be developing brand new redundant monitoring and fallback capabilities, which will allow an autonomous vehicle to run without real-time human supervision.
On the safety assurance path, Oxbotica and its partners will develop new operational and safety assurance processes that will enable fully autonomous trials to be conducted. Oxbotica holds the distinction of being the first organisation to be audited against vehicle autonomy safety standard PAS1881, and will also refine its existing PAS1881-based safety case to address the removal of the safety driver, and the systems safety questions this introduces.
With this project, Oxbotica and its industry-leading partners aim to continue their extensive history of technical achievement and industry-leading safety assurance mechanisms, and to take those first crucial steps towards true vehicle autonomy.
**ENCODE - Ensuring cybersecure deployments of driverless teleoperated vehicle**
ENCODE is a collaborative industrial research project, led by Connected and Automated Vehicle (CAV) developer StreetDrone, that aims to reduce time to market for connected and automated vehicle technology in the movement of goods. The project centres on the use of "multi-driver" vehicles, and accompanying security and safety assurance, to enable StreetDrone and the UK to be first to market in the automation of the freight supply chain. A "multi-driver" vehicle is one which can be driven via in-vehicle operator, remote operator, or autonomous driving stack (ADS).
A significant barrier to the widespread deployment of autonomous mobility of people and goods, is achieving the level of technical maturity required to deal with all possible scenarios in the target environments. The range of scenarios to which a CAV can respond under autonomous mode is known as an Operational Design Domain (ODD). If this ODD does not match with the conditions expected in a particular environment (e.g. a busy sub-urban neighbourhood for last-mile deliveries), as the technology is not sufficiently mature, and a safety case cannot be justified, then a vehicle cannot be scalably deployed without safety drivers in situ. "Level 5" deployments (as per the recognised SAE levels) are not therefore possible with current state of the art.
Project ENCODE will alleviate this problem, by examining the safe and secure integration of "teleoperation", the ability for a remote operator to assist a CAV when the situation deems it necessary. Safe and secure teleoperation here allows a remote operator to service multiple vehicles, realising a clear commercial opportunity in cost saving over traditional 1:1 vehicle-driver ratios.
ENCODE will investigate the cybersecurity risks associated with multi-driver systems, and implement measures, including secure connectivity, to facilitate safe deployment of such systems. Project work will involve engagement with key stakeholders such as DfT and CCAV, to validate and further best practices, and will culminate in a live trial of multi-driver vehicles in two locations to showcase project outcomes.
ENCODE will be delivered by StreetDrone (Preston EV Ltd), a leading UK CAV developer, focused on low speed applications of automation including first-/last-mile deliveries; TRL, safety specialists and key team behind Smart Mobility Living Lab testbed; Coventry University cybersecurity experts; Angoka Ltd, a start-up providing protected communications and Oxfordshire County Council, a leading innovator among local authorities in the adoption of CAV technology.
The Teesside Hydrogen Vehicle Ecosystem seeks to solve a problem that has constrained the development of the hydrogen mobility sector -- the inability to scale hydrogen supply infrastructure to achieve sufficient economies of scale to make the production and supply of hydrogen and vehicle support infrastructure affordable. The project's solution to this problem is to test the feasibility of a complementary multimodal approach, introducing a range of hydrogen heavy- and light-duty vehicles across the Tees Valley region, centred around the Tees Valley Airport.
Toyota GB, the project lead and a global leader in the hydrogen sector, will demonstrate several use cases for their pioneering fuel cell technology. It is planned for ten Toyota Mirais to be offered to operate in high utility commercial operations such as response units for the Tees Valley Police, health service and taxis. The same fuel cell technology will be showcased in a Caetano single-deck bus in operation with Stagecoach. Wrightbus will complement the deployment by providing a double-decker bus to Arriva, demonstrating the technology for heavy-duty and high duty-cycle applications. A Toyota supplied materials handling unit will also be operated at Tees Valley Airport.
The primary aim of this project is to show that fuel cell technology is effective in a wide range of applications and that a multimodal system at a city/regional level can help the hydrogen sector achieve scales of demand otherwise not possible. These hydrogen demands will also have a positive impact across the hydrogen value chain in the region, allowing local production facilities to scale up, achieving cost benefits. Additionally, the vehicles deployed as part of this project will displace fossil fuel vehicles and will abate ~2,100 tonnes of CO2 over the course of their operational lifetime (35 tonnes over the 3-month trial), while reducing local air and noise pollution.
The project positions the Tees Valley as the first multimodal hydrogen hub in the UK. The success of this project, and the city transport hub concept, paves the way for a series of similar hubs to be initiated, forming the backbone of a wider hydrogen network for mobility across the UK. The creation of these hubs can encourage the wider deployment of hydrogen vehicles across the UK, scaling up manufacturing and bringing costs down. This helps to start a new national green hydrogen industry, with associated high-value jobs, and positions the UK as a global leader in the hydrogen mobility market.
The "Road to Hydrogen" is a demonstration project undertaken in the Teesside hydrogen valley to trial the first 19t GVW rigid truck powered by hydrogen fuel cells in the UK. Lessons learnt in this project will generate the insights required to improve the confidence of regional stakeholders, contribute to the long-term success of the Teesside Hydrogen Hub and will support the development of a local hydrogen supply chain.
The consortium includes Electra, the only UK-based OEM capable of providing a H2FC HGV in the given timeframe, Durham University a major academic institution with strong links to the Tees Valley, and Transport Research Laboratory and Element Energy organisations with substantial experience managing, monitoring and evaluating hydrogen trials. The project is also supported by Sainsbury's, a national retailer who will operate the truck from a local distribution centre, and Stockton-on-Tees Borough Council, which has a large public logistics fleet in which to operate the truck if required.
The project will deliver several innovations in relation to systems integration, hydrogen trial designs, and automation of the monitoring and evaluation process of hydrogen fuel cell vehicle trials. The project will engage with different stakeholder groups' and will investigate their awareness, perceptions, and attitudes towards hydrogen heavy goods vehicles. The project will identify future business opportunities in the region, to identify the needs to develop a thriving hydrogen ecosystem.
While this project is regional in nature, the outcomes are expected to help other regions across the UK to develop hydrogen transport hubs. Elements such as vehicles' reliability, costs, technical performance, operational constraints; policy landscape (enablers and barriers); and stakeholders' views will be easily applied UK-wide. Some of the other aspects such as the Hub's plans and roadmaps while niche, will also indicate some of the activities that other regions seeking to develop a hydrogen valley may want to pursue.
Whilst much is discussed about the potential for **"Green Hydrogen"** from renewable energy to become the Marine sector's primary energy source to replace fossil-fuels, there are neither demonstrators nor infrastructure visible to encourage take-up by the many small ships, owners of which are, as with the electric car, waiting to see how such an option can be both economic, practical & viable.
This **Hydrogen Transport Hub** project headed by Marine Propulsion innovator Duodrive, newly based within Tees Valley, brings together in one step all the necessary components to demonstrate exactly that which is missing to a wider audience with input from research organisation TRL - "the Future of Transport" - to ensure the achievement of the regulatory development objectives.
Making use of a 10m workboat 'demonstrator' which still has life to beyond 2035 **\#NetZeroMaritime** can be realised by retrofitting high efficiency electric drivetrains powered by Hydrogen fuelled power generators and high-pressure fuel storage in place of its twin 250HP diesels. This combination is without the weight & range limitations of batteries, is simple and has the potential to have similar bunkering costs to diesel even immediately before the wider availability of "green H2" decreases that cost over the next decade.
As part of the HTH demonstration a **Hydrogen Refuelling Station** will also be deployed by **Octopus Hydrogen** who are keenly backing the project implementation.
Ports in general are working on carbon, air quality and to supply sustainable energy for shipping - the largest outside of TeesSide being the Port of London and the tidal River Thames for which both the **Thames Estuary Growth Board** and **Port of London Authority** letters of support recognise the importance of Duodrive's demonstrations to achieve sustainable inland passenger and freight shipping.
The intention is to displace 100% GHG impact of fossil fuel (goal 80 tons eCO2) rather than other technologies such as fuel-cell or co-injection with diesel - for the latter an often quoted example of 60% H2 displaces only 37 tons Net CO2 with unknown NOx production.
A 'holistic approach' to the integrated design will realise production of a package for which "customised" price-tags associated with Marine can be mostly avoided. Novel improvements to the retrofittable Contra-rotating Propulsion along with innovative port manoeuvring FarSight(tm) will be examined using CFD analysis to optimise the patented features of the Motodrivetrain(r) and then tested during the demonstration period.
We believe the future of EV charging is autonomous rather than manual. As charging speeds increase, manual charging, which currently often replicates manual liquid refuelling infrastructure, offers progressively poor user experience (e.g., plugs heat up requiring liquid cooling, becoming heavier and more vulnerable to damage, vandalism and safety concerns). Conventional manual chargers cause street clutter and their deployment meets stakeholder resistance. Furthermore, the Covid-19 pandemic has brought new infection risks associated with manual operation.
MOLE is an autonomous, underbody, conductive EV charging technology. MOLE provides a more efficient, flexible and scalable system compared to inductive/wireless technology (competitor state-of-the-art). Being installed underground, our clutter-free chargers avoid trip hazards - for commercial fleets delivering better health and safety in the workplace; and for residential urban charging improving walkability in line with expert recommendations (London Mayor's EV Infrastructure Taskforce, 2020). Minimal street clutter adds value compared to conventional manual chargers e.g., trailing wires, and safety issues related to manual connection. In all use cases, our innovation enhances user experience with ZEV charging infrastructure.
In this project, we propose to further develop our technology for use cases in EV fleet charging, as well as public (on-street) charging applications. In both these use cases, the ability to deploy the MOLE charger underground and outdoor will crucially assist with enabling uptake of electric vehicles. Through the development of this innovation, we aim to play a significant role in the expansion of the UK's EV charging infrastructure.
The ElectroRoad project is a comprehensive study of an innovative Electric Road System (ERS) applied to 44tonne Heavy Goods Vehicles as a cost effective and feasible solution for Zero Emission Road Freight.
ElectroRoad involves world-class experts in their fields and assesses all the factors necessary...
* technology
* safety
* regulations
* costs and benefits
...and provides detailed proposals for a long-term, large scale, fleet demonstration on UK roads, and how this trial would be monitored and evaluated.
\*The UK Aggregated Hydrogen Freight project is a detailed feasibility study into an ambitious nationwide deployment for fuel cell trucks and a network of accessible truck fuelling stations. This deployment will be centred around the aggregated demand for trucks from a group of the largest UK truck fleet operators, active across several fleet types.
\*The aggregated demand for fuel cell trucks will guide the selection for station locations (expected to be focussed on major UK motorways). Having identified these locations, the partners will engage with several large green hydrogen refuelling infrastructure providers to define station locations and designs to meet the operational needs of the operators. The publicly accessible hydrogen refuelling station network will be specified to provide the backbone from which further expansion is possible beyond this project.
\*The truck operator group requirements will lead on refuelling infrastructure locations and vehicle specifications. Uniting a large group of hydrogen truck operators -- demand -- with the vehicle manufacturers and infrastructure providers -- supply -- in one project, enables a coordinated approach which solves the problem that has plagued the hydrogen transport sector: a lack of synchronisation between demand for hydrogen vehicles and construction of hydrogen infrastructure. This means the sector has not been able to meet the market demand for zero emission trucks. Therefore, engagement with all relevant stakeholders (starting with the vehicle customer) is central to this project and forms the core of the plan for fuel-cell truck deployment developed in this feasibility study.
\*This bid builds on work completed as part of the operator-led UK AHFC, in which a group of interested fuel-cell truck manufacturers, green hydrogen suppliers and hydrogen infrastructure providers has been identified.
\*In conclusion, this bid will lay the foundations for the national deployment of hydrogen fuel-cell trucks in the UK, having previously established market demand, interested truck manufacturers and hydrogen infrastructure providers, to culminate in the start of the hydrogen transport sector in the UK. This feasibility study will enable the articulation and detailing of this vision to the point of final financial sign-off from all parties.
"The ultimate aim of ServCity is to reduce private car journeys in urban areas by providing a reliable autonomous mobility service.
By doing so, the consortium aims to solve urban challenges around congestion and emissions and, propose a blueprint for future Automated Mobility Services (AMS).
This project demonstrates UK capabilities and technologies to a global audience by bringing together two globally recognised British business champions and builds on UK's academic and Connected and Automated Vehicle (CAV) expertise to deliver a novel, economically sustainable business model for London - the UK megacity.
The service will be developed with an ultimate aim of offering fully automated vehicles (SAE Level 5) as part of flexible urban mobility. However, this project will explore the concepts through pilot testing SAE Level 4 vehicles aided by simulation and modelling."
Oxbotica, an innovation leader in the field of robotics and machine learning will partner with QinetiQ a world leader in the provision of robotics and autonomous systems for complex environments, to deliver a breakthrough in cost effective self-driving solutions for heavy duty off-highway equipment. This will enable benefits in productivity, safety and well-being of operatives to be demonstrated in high value construction, mining and defence applications. Oxbotica's leading edge technology, currently under test with a number of automotive companies and in on-highway CAV projects offers the potential to use a low cost camera-based approach to self-driving, which enables the potential to deal with the much more dynamically changing environments of large construction projects. In this project QinetiQ will develop a conversion kit that enables drive-by-wire control for large off-highway vehicles, and will then integrate it with Oxbotica's Selenium autonomy system. As a part of the project we will run demonstrations that benchmark capability in tough off-road environments and explore deployment into industries ranging from airports to construction to defence. Finally the partners will integrate a fleet-level command and control system that enables many AV's to interact with other varieties of transportation. This will include a goal-based mission planning system that optimises the route the vehicle will take and will factor in dynamic route conditions and constraints to ensure the vehicle progresses safely and efficiently.
"Project Apollo will deliver a new mobility service: autonomous ride-sharing vehicles in the London Borough of Greenwich. This service is for residents or workers in areas which are poorly served by existing public transport and driven services.
The Apollo pilot will be led by Addison Lee, Britain's largest-scale and most trusted private-hire operator, which carries 10million passenger a year in 350 cities around the world. The consortium includes Oxbotica, which has clocked up more autonomous vehicle miles than any other company in Britain, Nominet which is a world-leader in cybersecurity, Immense which is the UK's expert in fleet simulation and DG Cities, which brings the essential understanding of city needs.
Apollo's pilot will be the largest in Europe, operating over 12 months with a fleet of 15 Ford vehicles, capable of SAE Level 4\. The aim is to carry out 25,000 passenger trips, covering 300 million kms and prepare to launch a service which is viable commercially, for customers and for the city. Once tried and tested in London, the full-scale CAV passenger service will be rolled-out to other UK cities and exported.
Combining the UKs largest-scale service provider with the leading developer of autonomous technology and strong city leadership, means Apollo will be able to create a service with excellent customer experience, which connects people in transport-poor areas. The on-demand ride-sharing service will be affordable and inclusive, and will be demand-led -- with an ability to flex the area covered, dependent on customer needs.
Autonomous ride-sharing offers multiple advantages. The ""sharing"" aspect helps tackle congestion by incentivising people out of private cars. Electrification means that the service will be environmentally sustainable. And by addressing an existing transport need current driven modes do not address, the project will contribute to social inclusion and economic regeneration.
As well as informing potential service operators, this project will aim to inform regulators and policy makers as they deliver the Future of Mobility vision and ensure future policy benefits from the latest CAV knowledge. Through this approach we believe that we will help shape and build the market (the demand side) for the CAV sector in the UK and beyond.
The Apollo project presents an unprecedented opportunity to demonstrate UK Connected and Autonomous capabilities and technologies to a global audience and will pave the way for leading UK service operators, technology providers and cities to set the global standard for next-generation mobility services."
The UK road network carries 73% of all freight journeys, and the rapid changes in distribution of goods due to growth in online retailing places new strains on road transport infrastructure. Road congestion is a major concern, especially in urban environments, and emissions from motor vehicles are a major cause of air pollution. Moreover, the existing transport system is not sustainable, as road haulage is almost exclusively powered by fossil fuels, especially for larger vans and HGVs, where electric vehicles are not feasible due to the excessive mass and cost of the batteries that would be required.
We are creating a next-generation transport link for e-commerce and light freight, which will take traffic off the roads, easing congestion, and which produces zero emissions and can exploit renewable resources.
Our vision is to create a world leading test environment for the development of future mobility solutions in London. The Smart Mobility Living Lab based in the Royal Borough of Greenwich (RBG) and the Queen Elizabeth Olympic Park (QEOP). Businesses will be able to test their ideas, technology and services, examples include: • Testing autonomous and connected vehicles on real roads safely • Exploring the relationship and interaction between autonomous vehicles and people in complex and busy real world environments • Testing the use of driverless pods to carry people short distances (1-2 miles) from transport nodes, i.e. railway and underground stations to major venues or destinations • Exploring the use of large data sets to improve the flow of traffic and people • Exploring how much more can be achieved through a more integrated transport system that requires little interaction from the passenger • Exploring the benefits of new technology for logistics companies This is an exciting project and part of the UK Governments commitment for the UK to be at the forefront of this new and rapidly evolving market. Investment will give UK industry the opportunity to take the lead and reinforce its position as a leader in this field.
A proof of concept focusing on System Centric Safety and potential benefits of BIM to support the adoption of CAV technologies in future mobility services. BIM models are currently used in major road infrastructure projects, but not for the urban road systems where future CAV based mobility services will operate. By merging the traditional BIM approach with data relevant to the CAV community such as road surface, line markings, street furniture, utilities to create the basis for a cost effective validation tool.
A proof of concept focusing on System Centric Safety and potential benefits of BIM to support the adoption of CAV technologies in future mobility services. BIM models are currently used in major road infrastructure projects, but not for the urban road systems where future CAV based mobility services will operate. By merging the traditional BIM approach with data relevant to the CAV community such as road surface, line markings, street furniture, utilities to create the basis for a cost effective validation tool.
A proof of concept focusing on System Centric Safety and potential benefits of BIM to support the adoption of CAV technologies in future mobility services. BIM models are currently used in major road infrastructure projects, but not for the urban road systems where future CAV based mobility services will operate. By merging the traditional BIM approach with data relevant to the CAV community such as road surface, line markings, street furniture, utilities to create the basis for a cost effective validation tool.
A proof of concept focusing on System Centric Safety and potential benefits of BIM to support the adoption of CAV technologies in future mobility services. BIM models are currently used in major road infrastructure projects, but not for the urban road systems where future CAV based mobility services will operate. By merging the traditional BIM approach with data relevant to the CAV community such as road surface, line markings, street furniture, utilities to create the basis for a cost effective validation tool.
A proof of concept focusing on System Centric Safety and potential benefits of BIM to support the adoption of CAV technologies in future mobility services. BIM models are currently used in major road infrastructure projects, but not for the urban road systems where future CAV based mobility services will operate. By merging the traditional BIM approach with data relevant to the CAV community such as road surface, line markings, street furniture, utilities to create the basis for a cost effective validation tool.
A proof of concept focusing on System Centric Safety and potential benefits of BIM to support the adoption of CAV technologies in future mobility services. BIM models are currently used in major road infrastructure projects, but not for the urban road systems where future CAV based mobility services will operate. By merging the traditional BIM approach with data relevant to the CAV community such as road surface, line markings, street furniture, utilities to create the basis for a cost effective validation tool.
A proof of concept focusing on System Centric Safety and potential benefits of BIM to support the adoption of CAV technologies in future mobility services. BIM models are currently used in major road infrastructure projects, but not for the urban road systems where future CAV based mobility services will operate. By merging the traditional BIM approach with data relevant to the CAV community such as road surface, line markings, street furniture, utilities to create the basis for a cost effective validation tool.
A proof of concept focusing on System Centric Safety and potential benefits of BIM to support the adoption of CAV technologies in future mobility services. BIM models are currently used in major road infrastructure projects, but not for the urban road systems where future CAV based mobility services will operate. By merging the traditional BIM approach with data relevant to the CAV community such as road surface, line markings, street furniture, utilities to create the basis for a cost effective validation tool.
A proof of concept focusing on System Centric Safety and potential benefits of BIM to support the adoption of CAV technologies in future mobility services. BIM models are currently used in major road infrastructure projects, but not for the urban road systems where future CAV based mobility services will operate. By merging the traditional BIM approach with data relevant to the CAV community such as road surface, line markings, street furniture, utilities to create the basis for a cost effective validation tool.
A proof of concept focusing on System Centric Safety and potential benefits of BIM to support the adoption of CAV technologies in future mobility services. BIM models are currently used in major road infrastructure projects, but not for the urban road systems where future CAV based mobility services will operate. By merging the traditional BIM approach with data relevant to the CAV community such as road surface, line markings, street furniture, utilities to create the basis for a cost effective validation tool.
A proof of concept focusing on System Centric Safety and potential benefits of BIM to support the adoption of CAV technologies in future mobility services. BIM models are currently used in major road infrastructure projects, but not for the urban road systems where future CAV based mobility services will operate. By merging the traditional BIM approach with data relevant to the CAV community such as road surface, line markings, street furniture, utilities to create the basis for a cost effective validation tool.
A proof of concept focusing on System Centric Safety and potential benefits of BIM to support the adoption of CAV technologies in future mobility services. BIM models are currently used in major road infrastructure projects, but not for the urban road systems where future CAV based mobility services will operate. By merging the traditional BIM approach with data relevant to the CAV community such as road surface, line markings, street furniture, utilities to create the basis for a cost effective validation tool.
A proof of concept focusing on System Centric Safety and potential benefits of BIM to support the adoption of CAV technologies in future mobility services. BIM models are currently used in major road infrastructure projects, but not for the urban road systems where future CAV based mobility services will operate. By merging the traditional BIM approach with data relevant to the CAV community such as road surface, line markings, street furniture, utilities to create the basis for a cost effective validation tool.
A proof of concept focusing on System Centric Safety and potential benefits of BIM to support the adoption of CAV technologies in future mobility services. BIM models are currently used in major road infrastructure projects, but not for the urban road systems where future CAV based mobility services will operate. By merging the traditional BIM approach with data relevant to the CAV community such as road surface, line markings, street furniture, utilities to create the basis for a cost effective validation tool.
A proof of concept focusing on System Centric Safety and potential benefits of BIM to support the adoption of CAV technologies in future mobility services. BIM models are currently used in major road infrastructure projects, but not for the urban road systems where future CAV based mobility services will operate. By merging the traditional BIM approach with data relevant to the CAV community such as road surface, line markings, street furniture, utilities to create the basis for a cost effective validation tool.
A proof of concept focusing on System Centric Safety and potential benefits of BIM to support the adoption of CAV technologies in future mobility services. BIM models are currently used in major road infrastructure projects, but not for the urban road systems where future CAV based mobility services will operate. By merging the traditional BIM approach with data relevant to the CAV community such as road surface, line markings, street furniture, utilities to create the basis for a cost effective validation tool.
A proof of concept focusing on System Centric Safety and potential benefits of BIM to support the adoption of CAV technologies in future mobility services. BIM models are currently used in major road infrastructure projects, but not for the urban road systems where future CAV based mobility services will operate. By merging the traditional BIM approach with data relevant to the CAV community such as road surface, line markings, street furniture, utilities to create the basis for a cost effective validation tool.
A proof of concept focusing on System Centric Safety and potential benefits of BIM to support the adoption of CAV technologies in future mobility services. BIM models are currently used in major road infrastructure projects, but not for the urban road systems where future CAV based mobility services will operate. By merging the traditional BIM approach with data relevant to the CAV community such as road surface, line markings, street furniture, utilities to create the basis for a cost effective validation tool.
StreetWise aims to develop and demonstrate the technology, safety validation methods, insurance and service models for delivering an autonomous personal mobility solution targeted at replacing the urban commuter car. The project will show that the technology is now sufficiently mature to be safe in urban environments, sufficiently intelligent to co-exist with human drivers, road users and pedestrians and will demonstrate how we can use this technology to build compelling service offers to recover commuting time, reduce commuting costs, cut accident rates, reduce congestion and cut emissions. The StreetWise project will be delivered by a consortium led by FiveAI - a company specialising in perception and artificial intelligence in-vehicle technologies - working in collaboration with component technology providers (McLaren Applied Technologies, University of Oxford), transport sector related innovators (Arriva, TRL Limited & Transport for London) and the UK’s largest automotive personal insurance provider (Direct Line Group).
The CC-CARS project will evaluate the operational and commercial realities of using SAE level 4 automated vehicles to deliver integrated ridesharing services in an urban environment. It builds upon ongoing work in the Innovate UK-funded GATEway project that is bringing connected and automated vehicle (CAV) technology to the streets of Greenwich. CC-CARS will explore how to enhance urban mobility, as well as reduce total vehicle journeys and thereby reduce emissions and pollution. The role of the consortium partners will be as follows: Addison Lee will explore using its booking, allocation and dispatch technology to pair ridesharing journeys and coordinate with the broader transport network. The project will also consider the user perspective, factoring safety, comfort, privacy, security and accessibility into the service. General Motors will provide guidance on suitable vehicle design and performance characteristics enabling Immense Simulations to simulate CC-CARS operations. Transport Systems Catapult will use passenger movement data to determine likely vehicle missions. The consortium will start by looking at vehicle movements in Greenwich, determining what journeys could be provided by automated vehicles to inform the deveopment of a CAV service business model.
DRIVEN aims to remove fundamental barriers to real-world commercial deployment of autonomous vehicles, by addressing the need for real-time risk assessment frameworks to authorise engagement of Level 4 autonomous driving sessions and provide pro-active connected insurance. This integration of risk and dynamic authorisation into a L4 autonomous vehicle control system is transformative, underpinned by distributed data sharing, learning and connected real-time risk management to optimise overall autonomous fleet safety and operation. To realise these developments, Oxbotica, a market leader in the deployment of real-world autonomy solutions in the UK, will lead a consortium including Oxford Robotics Institute, XL Catlin, Nominet, Telefonica, Transport Research Laboratory, RACE, Oxfordshire County Council and Westbourne Communications. The ambitious trials programme culminates in 6 co-operative L4 CAVs performing mixed urban and motorway driving routes in a live-traffic environment between Oxford and London. DRIVEN demonstrates autonomy as a viable service, unlocking new service models that enable widespread autonomy for UK plc and accelerate market implementation in UK and globally.
This collaborative project between UK and Chinese partners will seek to develop a fully automated and
connected, zero emission urban transport solution. It builds on the existing research and development that has
been carried out in the UK and China to propose a novel and innovative solution for clean and efficient urban
transportation. The proposed project will utilise technologies such as automated, electric vehicles,
communication systems and wireless charging solutions. This project will deliver substantial socio-economic
benefits within the urban environment to Chinese citizens in terms of reduced air pollution, reduced
greenhouse gas emissions, improved transport efficiency and accessibility to vital services while at the same
time, opening up substantial market opportunities for UK companies and opportunities for forming strong
partnerships for the commercialising of developed solutions.
The MOVE-UK project will help the UK to become a world leader in the development of automated and
driverless cars. The project partners (Bosch, Jaguar Land Rover, TRL, Direct Line Group, The Floow and the
Royal Borough of Greenwich) will speed up the entry of automated, driverless car technologies to the motor
market. The project will allow these technologies to be developed and tested more rapidly and at lower cost to
manufacturers. Driverless systems will be tested in the real world, providing large amounts of data that will be
used to develop and improve the technology. These technologies will not control the test vehicles but will
generated information which will be fed into a unique data store. This data store will allow us to develop new,
faster ways of improving and demonstrating the safety of the automated driving systems. We will also use this
information to provide “smart cities” with new ways to improve services for residents and the environment; to
help us understand how detailed data from cars can be used in the future to benefit drivers; and, to help the
project partners to understand the how driverless technologies will change their businesses in the future.
The Atlas Project will study the feasibility of and requirements of the technologies and services required to
deliver autonomous navigation ‘anywhere’ in a safe, reliable and resilient manner. Specifically, the project will
study the navigation, mapping, data, communications and processing requirements; ,identifying the on-vehicle
and infrastructure elements required to support autonomous navigation. The project also considers how data
can be reused for the planning of urban environments more suited to autonomy. The consortium partners
collaborating on this project are: Ordnance Survey (lead), Gobotix Ltd, Oxford Technical Solutions Ltd,
Transport Research Laboratory, Sony Europe Ltd, Royal Borough of Greenwich and Satellite Applications
Catapult.
The GATEway project seeks to establish Greenwich as a leading venue for the testing and development of automated transport systems, showcasing their effectiveness for implementation in London, the UK and beyond and enhancing the global competitiveness of UK businesses. Led by the Transport Research Laboratory (TRL), we will fulfil this vision by delivering a convincing demonstration of driverless vehicles in the UK. We will create interoperable, scalable testing environments, protocols and standards guidance that will attract research and development investment in this area. Testing will include automated electric shuttle vehicles, M1 vehicles, a demonstration of teleoperated driving and a simulated 3D model of the Greenwich peninsula. The project focus is understanding engagement and interaction with automated vehicles, their local, national and international implications, effectively disseminating the results and providing routes to exploitation. The project legacy will be a driverless vehicle test environment in Greenwich, generating tangible business outcomes for consortium partners and attracting international OEMs and associated industries to the UK.
This project will deliver a production-feasible waste heat recovery system for urban commercial vehicles, which offers life-cycle CO2 savings of up to 40%, fuel savings up to almost 50%, and potential payback in less than three years. The project uses the Dearman Engine, a high efficiency liquid-air expander that uniquely harvests low grade heat sources and is most effective in urban duty cycles, working with the internal combustion engine as a hybrid. In so doing, more efficient and less transient ICE operation is realised, leading not only to higher efficiency but to potential for improved air quality or simplified aftertreatment. The technology uses readily available materials with low embedded carbon, and operates with commercially available liquid nitrogen which is already produced using off-peak electricity and has great potential for storing “wrong-time” renewables. Bringing together expertise in the Dearman system, industrial gases, IC engines, vehicle systems, legislation and standards and manufacturing, the consortium will advance TRL, MRL and develop an exploitation plan. This will be achieved through an on vehicle demonstration of the system alongside a process of engaging the potential supply, demand and legislative chains. The project creates significant UK advantage in a future urban medium/heavy duty vehicle market of over 3 million units per year.
This project is a collaboration between TRL and Balfour Beatty Rail Technologies to develop a method for identifying low adhesion areas of the rail network, in real-time, and presenting this to network operators in a way that facilitates more effective response to the problems caused by low adhesion. It will build on BBRT’s existing product range by introducing technology and practices from TRL’s experience of road condition surveys and management of infrastructure assets. The availability of real-time adhesion data will enable lower cost and more effective management deployment of measures to improve rail adhesion as well as providing information to assist train drivers maximise the performance within the limitation of the current conditions. If successful, this will lead to considerable cost and safety benefits arising from reduced delay, risk of critical events, and wear to track and rolling stock.
TRL are the lead partner of a consortium consisting of ecoXchange, EDF Energy, E.ON and Red Deer Technology Group. This project seeks to identify the optimal business case for EV battery reuse in the UK by determining what the highest value services for EV battery reuse could be, and how technically feasible these reuse applications are. This feasibility study is focusing on investigating the feasibility of reusing EV batteries for energy utilities applications. The project will investigate where the highest value locations for electricity storage may be; whether on transmission or distribution networks, or on community or domestic-scale installations. It will also investigate what the highest value services are, which could be: provision of back-up power, peak-shaving, load-shifting, grid-investment deferral or provision of balancing services.
TRL are the lead partner of a consortium consisting of Axeon Technologies, Oakdene Hollins and University of Sheffield, undertaking a feasibility study on the recycling of electric vehicle Lithium ion batteries. The main focus of the feasibility study is to identify a cost effective method for recycling of automotive Lithium-Ion batteries and to understand whether it can contribute to reducing the initial purchase price of EVs in the UK. In doing so, the project aims to develop a battery tracking and state of health monitoring methodology which, combined with the identification of the possible value of recoverable raw materials from an EV battery, will allow the development of a model to determine when it is cost effective to recycle an EV battery.
RoadSaver will harness the road condition data currently being gathered by highway authorities. The objective is to extract better value from the vast amount of road condition data routinely gathered by local highway authorities to enable them to improve decision making, efficiency, cost effectiveness and value for money in maintaining a vital national asset. The project will address three specific aspects of the problem of extracting meaningful information from the data: developing new methodologies to interpret raw survey measurements to identify parts of the network that are deteriorating; developing more effective data analysis tools to enable the processed data to be used in decision making; and developing new data visualisation and presentation tools to assist strategic and operational decision making.