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Public Funding for Cubic Transportation Systems Limited

Registration Number 01381707

ICEIMO: Intermodal Capacity, Environmental and Intelligent Mobility Optimisation.

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Collaborative R&D
The project objective is to develop a commercially viable innovative future transport authority facing integrated toolset called ICEIMO (Intermodal Capacity, Environmental and Intelligent Mobility Optimisation). ICEIMO will create a truly demand-responsive intermodal transport network and demonstrate this concept at a major London transport hub. This will create and utilise innovative transport demand data filling existing data gaps, novel predictive transport demand algorithms, Intelligent Mobility impact toolsets and new field test service to monitor air quality. Transport infrastructure will increase its resilience to population growth through making operational decisions on intermodal capacity to dynamically allocate capacity based on demand and air quality drivers, realise business efficiencies and reduce operating costs (proving viability). The consortium will approach the project by applying specialist skills and knowledge to the project. This improves current state-of-the-art tools because new real-time modelling software/datasets, air quality and Intelligent Mobility impacts will be incorporated into operational tools, refined and validated through industrial research field trials. A substantial impact on the market, partner products and strategies is expected in the next 3-5 years.

Smart Mobility Living Lab:

1,213,978
2018-04-01 to 2023-10-31
Collaborative R&D
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.

Improving Card Tap Compliance

171,599
2017-11-01 to 2019-03-31
Collaborative R&D
Incomplete journeys (where passengers forget or are otherwise unable to touch their card on a ticket validator at beginning or end of journey) are an issue for passengers and operators alike, leading to passenger frustration, revenue loss and additional administration costs for the operator. This project addresses this issue by taking a human-centred approach in designing and implementing an innovative reminder system which will prompt individual passengers who are identified being at risk of having missed a tap. Improved passenger experience will be an immediate benefit of this system, however, indirect benefits such as increased uptake of smart ticketing and capacity improvements are also foreseen. Having gained an understanding of the reasons behind incomplete journeys, the project will design and test user interface concepts and then deploy and test the most compelling candidates into a live station for an extended pilot. We will gather feedback throughout the pilot duration and work in an agile way to improve the concept in a quick but controlled fashion. Combining cutting edge vision based tracking technologies with existing validator systems and novel feedback mechanisms the project outcomes will be applicable in a much wider scope, in particular around innovation in gateline technology and future ticket detection systems.

Cambridge Autonomous Bus System Feasibility Study

19,999
2017-07-01 to 2018-06-30
Feasibility Studies
The Cambridge Autonomous Bus System Feasibility Study will examine the opportunity to use new, electric, autonomous mini-buses to provide much needed transport links between Cambridge's science campuses, park & ride locations and rail stations. These vehicles and special paths could provide a significant improvement in traffic congestion, improve air quality, and solve serious work commute difficulties for residents in the Cambridge region. The vehicles could use the Cambridge Guided Busway after hours when the buses are not running to provide transport to the thousands of people working night shifts at the Addenbrooke's and Cambridge Biomedical Campuses. Another possible multiuse pathway would allow pedestrians, bicycles and the automated mini-buses to safely share a new connection between the Wellcome Genome Campus and the Whittlesford Parkway rail station. The partners in the study are the RDM Group, Cubic Corporation, The Welcome Genome Campus and Cambridgeshire County Council. The study also has the support of the Addenbrooke's Hospital, Cambridge Biomedical Campus, Astra Zeneca and Stagecoach.

City University London andCubic Transportation Systems Limited

2016-02-01 to 2017-07-31
Knowledge Transfer Partnership
To improve door-to-door User Experience by developing a novel mobile tool to help public transport passengers discover useful journey and destination information without actively requesting it.

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