Scipediacontent: Scipediacontent moved page Draft Content 209327696 to Chrpa et al 2013a

2021-02-03T18:53:10Z

Scipediacontent moved page Draft Content 209327696 to Chrpa et al 2013a

Scipediacontent: Created page with " == Abstract == dvanced urban traffic control systems are often based on feed-back algorithms. For instance, current traffic control systems often operate on the basis of ada..."

2021-02-03T18:53:07Z

Created page with " == Abstract == dvanced urban traffic control systems are often based on feed-back algorithms. For instance, current traffic control systems often operate on the basis of ada..."

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== Abstract ==

dvanced urban traffic control systems are often based on feed-back algorithms. For instance, current traffic control systems often operate on the basis of adaptive green phases and flexible co-ordination in road (sub) networks based on measured traffic conditions. However, these approaches are still not very efficient during unforeseen situations such as road incidents when changes in traffic are requested in a short time interval. Therefore, we need self-managing systems that can plan and act effectively in order to restore an unexpected road traffic situations into the normal order. A significant step towards this is exploiting Automated Planning techniques which can reason about unforeseen situations in the road network and come up with plans (sequences of actions) achieving a desired traffic situation. In this paper, we introduce the problem of self-management of a road traffic network as a temporal planning problem in order to effectively navigate cars throughout a road network. We demonstrate the feasibility of such a concept and discuss our preliminary evaluation in order to identify strengths and weaknesses of our approach and point to some promising directions of future research.

== Original document ==

The different versions of the original document can be found in:

* [http://eprints.hud.ac.uk/id/eprint/18140/1/Urban_Traffic_Control%284%29.pdf http://eprints.hud.ac.uk/id/eprint/18140/1/Urban_Traffic_Control%284%29.pdf]

* [http://xplorestaging.ieee.org/ielx7/6712176/6728201/06728360.pdf?arnumber=6728360 http://xplorestaging.ieee.org/ielx7/6712176/6728201/06728360.pdf?arnumber=6728360],
: [http://dx.doi.org/10.1109/itsc.2013.6728360 http://dx.doi.org/10.1109/itsc.2013.6728360]

* [https://pure.hud.ac.uk/en/publications/towards-application-of-automated-planning-in-urban-traffic-contro https://pure.hud.ac.uk/en/publications/towards-application-of-automated-planning-in-urban-traffic-contro],
: [https://dblp.uni-trier.de/db/conf/itsc/itsc2013.html#JimohCMS13 https://dblp.uni-trier.de/db/conf/itsc/itsc2013.html#JimohCMS13],
: [http://eprints.hud.ac.uk/id/eprint/18140 http://eprints.hud.ac.uk/id/eprint/18140],
: [https://trid.trb.org/view/1352671 https://trid.trb.org/view/1352671],
: [https://academic.microsoft.com/#/detail/1976090527 https://academic.microsoft.com/#/detail/1976090527]

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Chrpa et al 2013a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 209327696 to Chrpa et al 2013a

Scipediacontent: Created page with " == Abstract == dvanced urban traffic control systems are often based on feed-back algorithms. For instance, current traffic control systems often operate on the basis of ada..."