Effective Real-Time Urban Traffic Routing: An Automated Planning Approach

Mauro Vallati, Lukáš Chrpa

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

Abstract

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 vehicles present a unique opportunity for a fundamental change in urban traffic control. Urban traffic control approaches should then take an active role in integrating connected vehicles into the mobility ecosystem in order to maximise benefits. To support such integration, in this work we propose to leverage automated planning, a well-studied branch of artificial intelligence, to perform real-time traffic routing in urban areas. We describe the proposed approach, and we demonstrate its effectiveness using real-world historical data of a UK town.
Original languageEnglish
Title of host publicationProceedings of the 7th International IEEE Conference on Models and Technologies for Intelligent Transportation Systems
PublisherIEEE Computer Society
Number of pages6
Publication statusAccepted/In press - 2 Feb 2020
Event7th International IEEE Conference on Models and Technologies for Intelligent Transportation Systems - Aquila Atlantis Hotel, Heraklion, Crete, Greece
Duration: 16 Jun 202118 Jun 2021
Conference number: 7
https://www.mt-its2021.tse.bgu.tum.de/

Conference

Conference7th International IEEE Conference on Models and Technologies for Intelligent Transportation Systems
Abbreviated titleMT-ITS 2021
CountryGreece
CityHeraklion, Crete
Period16/06/2118/06/21
Internet address

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