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** Centre for Transport Studies (CTS) Seminar Series
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** Augmenting Traffic Signal Control Systems for Urban Road Networks with Connected Vehicles
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** Date and time: 6 November 2018 @4:00pm
Location: B05 Lecture Theatre, Chadwick Building, UCL, Gower St, London, WC1E 6BT, United Kingdom
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Abstract:
The introduction of connected vehicles in intelligent transport systems presents unique opportunities for improving traffic flow and reducing delays. A novel traffic signal control algorithm called Multi-mode Adaptive Traffic Signals (MATS) is proposed, which combines position information from connected vehicles with data obtained from existing inductive loops and signal timing plans in the network to control traffic signals at urban intersections. The MATS algorithm adapts to scenarios with low numbers of connected vehicles, an area where existing traffic signal control strategies for connected environments are limited. The proposed algorithm is tested on an urban case study in the city of Birmingham (UK) and the results are compared to a calibrated TRANSYT plan. The results show that the MATS algorithm offers significant reductions in delay and number of stops over TRANSYT, for networks with 0-100% connected vehicle presence, and is robust under adverse communication channel conditions
and heavy traffic demand.

Biography:
Craig B. Rafter is a postgraduate researcher at the University of Southampton. He completed the Engineering and Physical Sciences Research Council centre for doctoral training in Next Generation Computational Modelling. He is currently completing a PhD investigating the effects of traffic signal control using connected vehicle data on the transport network sponsored by the Transportation Research Laboratory. His research interests include: Connected vehicles, ITS, large-scale micro-simulation of vehicular environments, and sustainable research software development.
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REGISTER HERE: (https://ctsseminar-craigrafter.eventbrite.co.uk)

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