Simulation-Based Optimization of Maximum Green Setting under Retrospective Approximation Framework
Most traffic signal systems work under highly dynamic traffic conditions, and they can be studied adequately only through simulation. As a result, how to optimize traffic signal system parameters in a stochastic framework has become increasingly important. Retrospective approximation (RA) represents the latest theoretical development in stochastic simulation. Under the RA framework, the solution to a simulation-based optimization problem can be approached with a sequence of approximate optimization problems. Each of these problems has a specific sample size and is solved to a specific error tolerance. This research applied the RA concept to the optimal design of the maximum green setting of the multidetector green extension system. It also designed a variant of the Markov monotonic search algorithm that can accommodate the requirements of the RA framework, namely, the inheritable Markov monotonic search algorithm, and implemented the RA-based optimization engine within VISSIM. The results show that the optimized maximum green can considerably increase composite performance (reducing delay and increasing safety) compared with traditional designs. The optimization methodology presented in this paper can easily be expanded to other signal parameters.
- Record URL:
- Summary URL:
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Availability:
- Find a library where document is available. Order URL: http://www.trb.org/Main/Blurbs/Traffic_Signal_Systems_2010_164974.aspx
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Authors:
- Li, Pengfei
- Abbas, Montasir M
- Pasupathy, Raghu
- Head, Larry
- Publication Date: 2010
Language
- English
Media Info
- Media Type: Print
- Features: Figures; References; Tables;
- Pagination: pp 1-10
- Monograph Title: Traffic Signal Systems 2010
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Serial:
- Transportation Research Record: Journal of the Transportation Research Board
- Issue Number: 2192
- Publisher: Transportation Research Board
- ISSN: 0361-1981
Subject/Index Terms
- TRT Terms: Algorithms; Green interval (Traffic signal cycle); Highway traffic control; Markov processes; Optimization; Simulation; Stochastic processes; Traffic delays; Traffic signal timing
- Identifier Terms: VISSIM (Computer model)
- Uncontrolled Terms: Retrospective approximation
- Subject Areas: Highways; Operations and Traffic Management; I73: Traffic Control;
Filing Info
- Accession Number: 01152661
- Record Type: Publication
- ISBN: 9780309160674
- Report/Paper Numbers: 10-3370
- Files: TRIS, TRB, ATRI
- Created Date: Mar 17 2010 8:58AM