"This project involves providing low cost, highly efficient smart energy systems for local communities. It builds upon a district scheme at Bunhill in Islington whereby heat from a London Underground ventilation shaft is used to provide heating for local residents - providing low cost and low carbon energy. This project considers a number of additional secondary energy sources which could be integrated into a smart grid. This includes heat from substations, sewers, supermarkets, canals, cable tunnels and data centres. The smart grid also includes battery storage and electric vehicle to grid points working with the electrical supply grid to make the most of intermittent renewable energy and ensure that consumers always get the best tariff.
The feasibility also investigates the business models and legal frameworks associated with the development and implementation of a complex smart system. It will work with key stakeholders in understanding views of end users and others in the supply chain.
It is anticipated that this innovative project will result in significant carbon emission savings and much lower energy costs for consumers. A successful feasibility study will identify the benefits for a range of users and lead to the design of a potential demonstration project."
"The purpose of the WiCET project is to investigate the commercial and technical viability of wireless charging for full electric and plug-in hybrid vehicles, with particular focus on taxis (Hackney Carriages) and private hire fleets. Given the typical duty cycles of taxis and the required recharging times during a shift, or for vehicles that are double-shifted, wireless charging for opportunity charging is considered to be an enabling technology in moving towards electrified taxi operations. Indeed, installation of wireless chargers at taxi ranks for frequent charging boosts, known as Choko-Choko charging in Japan, offers the opportunity for minimising recharging times and limiting the capacity of on-board batteries. This reduces 'range-anxiety' and helps control vehicle price. These are current barriers to increasing use of EVs.
This study will explore the potential to install wireless chargers in taxi ranks and examine the technical, commercial and operational implications. Secondary use-cases will also be explored including the use of wireless charging for emergency vehicles when they are on duty waiting for a call out.
This feasibility study brings together all aspects of the wireless charging value chain and will clarify the route to market for both a retrofit and ""factory option"" product. It will prepare the ground for a world leading large-scale commercial demonstrator of EV wireless charging technology in London and Nottingham delivering significant inward investment from IHI (Japan) and ParkingEnergy (Finland) in the UK.
The final report will be published and Cenex will also organise a workshop using the successful OLEV Go Ultra Low Nottingham supported LEVEL (Low Emission Vehicle Enterprise and Learning) programme to disseminate the findings."
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).
Seamless. Intelligent. Fast. Safe. Independent. Exciting. Project Alloyed will study and build technologies for vehicles of the future that will enable uninterrupted access to networks regardless of where you are, provide valuable data from within your car and its immediate surroundings and allow you to enjoy your favourite Apps and new services. This project is a collaborative effort between the Public Sector, Private Sector and Academic bodies within the UK. The project is co-funded by the UK Government and will last for 12 months.
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.
The project will demonstrate the value of processing of near real-time and historic mobile phone location data for use in transport analytical tools to support transport monitoring, modelling and planning. The project objectives are to:
* Demonstrate that a vast quantity of anonymised mobile phone location data can be converted into near real time transport network information (congestion, flow, origin and destination).
* Harness mobile data against existing diverse data sources to increase the quality, timeliness and completeness of coverage of transport network information for operational and planning purposes.
* Validate the suitability of mobile data in the complex, congested urban environment of London to prove applicability across the entire UK network. This will enable exploitation by the consortium for the benefit of Transport for London (TfL), other transport authorities, and wider international use.
This project will promote innovation in the field of mobile phone and transport analytics by:
* Validating this approach for the first time across a complex, congested urban environment.
* Presenting big data sets in formats compatible with existing transport monitoring and planning systems, facilitating take up by the transport industry.
* Providing a basis from which the future use of mobile phone data in other transport applications can be explored alongside vehicle traffic.
A considerable portion of congestion and pollution is linked to freight traffic on the UK’s roads and more particularly, to wasted or unnecessary mileage attributed to the lack of accurate road restriction information available to freight companies whilst route planning and when the vehicle is actually on the road network. This contributes to wasted mileage, congestion and increases in CO2 emissions and also economic impact on freight operators in terms of increased fuel costs, lost drivers hours and fines.
The INFORMED project aims to address the information gap by developing the most reliable and accurate Freight Repository through data collection from Local Authorities, and develop external data services to manage data dissemination to 3rd Parties.
The project aims to develop the first dedicated web based Freight Journey Planner on the TfL website (incorporating the Freight Repository data) to help transport managers improve the route planning and scheduling of their fleets.
Finally, the project will integrate the Freight Repository data into a commercial vehicle navigation system and build a connected service to deliver routes generated in the Freight Journey Planner directly to the navigation system. This will be the first ‘end to end’ solution developed specifically for the freight industry.
Project VORTIX will research and develop novel visualisations of real-time passenger choices at transport interchanges. The project involves: developing novel visualisations, including audio-visual decision support (DS) avatars and remote visualisation, for guiding travellers through transport interchanges in real-time (RT); research of location-aware mobile real-time public transport decision support and passenger advisory systems, including integrating real-time vehicle departures; integrating real-time RFID near-field communication (NFC) location sensing and GPS data, with development of a tookit for the transport sector; validation of visualisation functions within live infrastructure in selected London stations; advancing data interface standards; visualisation within Web services and mash-ups. © Copyright 2006 Kizoom, TfL. In Commercial Confidence
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