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Towards Application of Automated Planning in Urban Traffic Control

Jimoh, Falilat, Chrpa, Lukas, McCluskey, T.L. and Shah, Mohammad Munshi Shahin (2013) Towards Application of Automated Planning in Urban Traffic Control. In: 2013 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013). Institute of Electrical and Electronics Engineers ( IEEE ), pp. 985-990. ISBN 9781479929139

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Advanced 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.

Item Type: Book Chapter
Uncontrolled Keywords: automated planning, urban transport control, autonomic systems
Subjects: H Social Sciences > HE Transportation and Communications
Q Science > QA Mathematics > QA76 Computer software
T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TE Highway engineering. Roads and pavements
T Technology > TF Railroad engineering and operation
T Technology > TK Electrical engineering. Electronics Nuclear engineering
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Schools: School of Computing and Engineering
School of Computing and Engineering > High-Performance Intelligent Computing
Related URLs:
Depositing User: Falilat Jimoh
Date Deposited: 07 Oct 2013 11:51
Last Modified: 28 Aug 2021 19:46


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