Automated planning for urban traffic management

McCluskey, T.L., Vallati, Mauro and Franco, Santiago (2017) Automated planning for urban traffic management. In: Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence. IJCAI, pp. 5238-5240. ISBN 978-0-9992411-0-3

PDF - Published Version Restricted to Repository staff only Download (240kB)

Abstract

The global growth in urbanisation increases the demand for services including road transport infrastructure, presenting challenges in terms of mobility. Optimising the exploitation of urban road network, while attempting to minimise the effects of traffic emissions, is a great challenge. SimplyfAI was a UK research council grant funded project which was aimed towards solving air quality problems caused by road traffic emissions. Large cities such as Manchester struggle to meet air quality limits as the range of available traffic management devices is limited. In the study, we investigated the application of linked data to enrich environmental and traffic data feeds, and we used this with automated planning tools to enable traffic to be managed at a region level. The management will have the aim of
avoiding air pollution problems before they occur. This demo focuses on the planning component, and in particular the engineering and validation aspects, that were pivotal for the success of the project

Item Type:	Book Chapter
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Schools:	School of Computing and Engineering School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge
Related URLs:	Author Author Author Conference
Depositing User:	Mauro Vallati
Date Deposited:	08 Jun 2017 08:30
Last Modified:	28 Aug 2021 15:56
URI:	http://eprints.hud.ac.uk/id/eprint/32112

Downloads

Repository Staff Only: item control page

View Item