A Hybrid Automated Planning Approach for Urban Real-time Routing of Connected Vehicles

Mauro Vallati, Enrico Scala, Lukáš Chrpa

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

9 Citations (Scopus)


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. 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. A practical way to exploit CAVs for urban traffic control is to build an intelligent control mechanism that can distribute traffic in the controlled region. In this context, automated planning, a well-studied Artificial Intelligence topic, can provide techniques to dynamically generate plans to distribute traffic –thus maximising the network utilisation and reduce congestion. In this paper, we present an approach based on hybrid discrete continuous planning, and we demonstrate its impact using real-world historical data of a large UK town.
Original languageEnglish
Title of host publication2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021
Number of pages6
ISBN (Electronic)9781728191423, 9781728191416
ISBN (Print)9781728191430
Publication statusPublished - 25 Oct 2021
Event24th IEEE International Conference on Intelligent Transportation - Indianapolis, United States
Duration: 19 Sep 202122 Sep 2021
Conference number: 24


Conference24th IEEE International Conference on Intelligent Transportation
Abbreviated titleITSC2021
Country/TerritoryUnited States
Internet address


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