Abstract

There is a growing interest in the use of Artificial Intelligence (AI) techniques for urban traffic control, with a particular focus on traffic signal optimisation. AI-based approaches demonstrated to be capable of dealing in real-time with unexpected or unusual traffic conditions, as well as with the usual traffic patterns. To effectively perform their task, AI approaches require the design of ad-hoc techniques, usually under the form of heuristics to guide the search process. In this paper, leveraging on the successful application of automated planning to urban traffic control, we introduce an innovative heuristic and test it using real-world historical data. The experimental analysis shows that the proposed heuristic allows to quickly generate high-quality traffic signal strategies, that outperform those generated by the SCOOT framework currently deployed in the considered region.
Original languageEnglish
Title of host publication2023 8th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)
PublisherIEEE
Number of pages6
ISBN (Electronic)9781665455305
ISBN (Print)9781665455312
DOIs
Publication statusPublished - 11 Sep 2023
Event8th International Conference on Models and Technologies for Intelligent Transportation Systems - Holiday Inn ‘Port Saint Laurent’ hotel , Nice, France
Duration: 14 Jun 202316 Jun 2023
Conference number: 8
https://mt-its2023.eurecom.fr/

Conference

Conference8th International Conference on Models and Technologies for Intelligent Transportation Systems
Abbreviated titleMT-ITS 2023
Country/TerritoryFrance
CityNice
Period14/06/2316/06/23
Internet address

Cite this