NDLI: Comparative evaluation of heuristic optimization methods in urban arterial network optimization

Content Provider	IEEE Xplore Digital Library
Author	Agbolosu-Amison, S.J. Park, B. Ilsoo Yun
Copyright Year	2009
Description	Author affiliation: Dept. of Constr., Ajou Univerisity, Suwon, South Korea (Ilsoo Yun) \|\| Dept. of Civil & Environ. Eng., Univ. of Virginia, Charlottesville, VA, USA (Agbolosu-Amison, S.J.; Park, B.)
Abstract	Heuristic optimization methods have been widely applied in the engineering applications that are known to be extremely difficult to find an optimal solution using traditional mathematical approaches. Examples of such optimizations in transportation problems includes: congestion pricing, dynamic traffic assignment, developing traffic signal timing plans, etc. Studies have shown mixed results on the performances of various heuristic optimization methods. Obviously, the performance depends largely on the nature of problems, complexity of solution space, etc. This paper presents an evaluation of a few selected heuristic optimization methods (genetic algorithm (GA), harmony search (HS), and OptQuest) applied to solving a transportation optimization problem of an urban arterial network. The study results showed that the control parameters in GA and HS significantly affected the performance, and with properly determined parameters, GA outperformed HS and OptQuest. In addition, the best control parameters in GA and HS are robust to increased traffic conditions.
Starting Page	1
Ending Page	6
File Size	325918
Page Count	6
File Format	PDF
ISBN	9781424455195
DOI	10.1109/ITSC.2009.5309710
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optimization methods Timing Traffic control Genetic algorithms Communication system traffic control Optimal control Telecommunication traffic Intelligent transportation systems Intelligent networks Pricing macroscopic simulation introduction Genetic Algorithm harmony search OptQuest
Content Type	Text
Resource Type	Article

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