How to Plan Roadworks in Urban Regions? A Principled Approach Based on AI Planning

Mauro Vallati, Lukáš Chrpa, Diane Kitchin

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

2 Citations (Scopus)


Roadworks are required to keep roads in acceptable condition, and to perform maintenance of essential infrastructure. Road agencies are facing the problem of how to effectively plan frequent roadworks. In this paper, we exploit Automated Planning for roadworks planning. We introduce a planning domain model that allows us to plan a set of required roadworks, over a period of time, in a large urban region, by specifying constraints to be satisfied and suitable quality metrics. Our empirical analysis shows the suitability of the proposed approach.
Original languageEnglish
Title of host publicationComputational Science - ICCS 2019
Subtitle of host publication19th International Conference, Faro, Portugal, June 12-14, 2019 Proceedings, Part V
EditorsJoão M. F. Rodriques, Pedro J. S. Cardoso, Jânio Monteiro, Roberto Lam, Valeria V. Krzhizhanovskaya, Michael H. Lees, Jack J. Dongarra, Peter M. A. Sloot
Place of PublicationCham
PublisherSpringer Verlag
Number of pages8
ISBN (Electronic)9783030227500
ISBN (Print)9783030227494, 3030227499
Publication statusPublished - 13 Aug 2019
Event19th International Conference on Computational Science - Faro, Portugal
Duration: 12 Jun 201914 Jun 2019
Conference number: 19

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11540 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference19th International Conference on Computational Science
Abbreviated titleICCS 2019
Internet address


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