A Centralised Framework for Maximising the Utilisation of Urban Road Networks by Leveraging on Connected Vehicles

Mauro Vallati, Zeyn Saigol

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


One of the pivotal challenges presented to urban road traffic controllers is the effective utilisation of transport infrastructure, as a result of growing urbanisation, the finite network capacity, and of the increasing number of road vehicles. In this context, the arrival of connected autonomous vehicles (CAVs) represents a unique opportunity for a fundamental change in urban mobility, and urban traffic control should take an active role in integrating CAVs into the mobility ecosystem in order to maximise benefits. To support this integration, we propose to leverage on a centralised architecture that can exploit, for instance, Artificial Intelligence techniques to distribute vehicles in a controlled urban region, with the aims of reducing congestion and fostering a balanced use of the available road network. In this paper, we describe the overall framework that is under development in the AI4ME project, funded by the UK Engineering and Physical Sciences Research Council. Further, we demonstrate the impact of the proposed approach using real-world historical data of a large UK town.
Original languageEnglish
Title of host publicationProceedings of the 27th Intelligent Transportation Systems World Congress (ITS 2020)
Publication statusAccepted/In press - 14 Apr 2020
Event27th Intelligent Transportation Systems World Congress: The New Age of Mobility - Los Angeles Convention Center, Los Angeles, United States
Duration: 4 Oct 20208 Oct 2020
Conference number: 27


Conference27th Intelligent Transportation Systems World Congress
Abbreviated titleITSWC20
CountryUnited States
CityLos Angeles
Internet address


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