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Title: ASSESSMENT OF STOCHASTIC SIGNAL OPTIMIZATION METHOD USING MICROSIMULATION
Accession Number: 00819920
Record Type: Component
Record URL: Availability: Transportation Research Board Business Office 500 Fifth Street, NW Find a library where document is available Abstract: A stochastic signal optimization method based on a genetic algorithm (GA-SOM) that interfaces with the microscopic simulation program CORSIM is assessed. A network in Chicago consisting of nine signalized intersections is used as an evaluation test bed. Taking CORSIM as the best representation of reality, the performance of the GA-SOM plan sets a ceiling on how good any (fixed) signal plan can be. An important aspect of this approach is its accommodations of variability. Also discussed is the robustness of an optimal plan under changes in demand. This benchmark is used to assess the best signal plan generated by TRANSYT-7F (T7F), Version 8.1, from among 12 reasonable strategies. The performance of the best T7F plan falls short of the benchmark on several counts, reflecting the need to account for variability in the highly stochastic system of traffic operations, which is not possible under the deterministic conditions intrinsic to T7F. As a sidelight, the performance of the GA-SOM plan within T7F is also computed and it is found to perform nearly as well as the optimum T7F plan.
Supplemental Notes: This paper appears in Transportation Research Record No. 1748, Advanced Traffic Management Systems and Vehicle-Highway Automation 2001.
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Park, BRouphail, N MSacks, JPagination: p. 40-45
Publication Date: 2001
Serial: ISBN: 0309072077
Features: Figures
(5)
; References
(13)
; Tables
(2)
TRT Terms: Identifier Terms: Uncontrolled Terms: Geographic Terms: Subject Areas: Highways; Operations and Traffic Management; I73: Traffic Control
Files: TRIS, TRB, ATRI
Created Date: Nov 2 2001 12:00AM
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