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One of the pivotal challenges presented to urban traffic controllers is the effective utilization of the transport infrastructure, as a result of the growing urbanization and of the increasing number of vehicles. In response to this challenge, here we investigate the use of Automated Planning for reducing congestion and maximizing the exploitation of urban networks, by generating routes for the vehicles navigating through the controlled region. Empirical analysis is performed on four case studies (including maps of actual UK urban areas) with different complexities and volume of vehicles. The results demonstrate the potential of the presented approach, leading towards an intelligent navigation system, which shows to be able to provide effective personalized directions to vehicles.
|Title of host publication||Proceedings of The 34th ACM/SIGAPP Symposium on Applied Computing (SAC-19)|
|Publisher||Association for Computing Machinery (ACM)|
|Number of pages||4|
|Publication status||Published - 8 Apr 2019|
|Event||The 34th Association for Computing Machinery Special Interest Group on Applied Computing Symposium on Applied Computing - University of Cyprus, Limassol, Cyprus|
Duration: 8 Apr 2019 → 12 Apr 2019
Conference number: 34
https://www.sigapp.org/sac/sac2019/ (Link to Conference Website)
|Conference||The 34th Association for Computing Machinery Special Interest Group on Applied Computing Symposium on Applied Computing|
|Abbreviated title||SAC 2019|
|Period||8/04/19 → 12/04/19|
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