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Title: ENHANCED GENETIC ALGORITHM FOR SIGNAL-TIMING OPTIMIZATION OF OVERSATURATED INTERSECTIONS
Accession Number: 00803809
Record Type: Component
Record URL: Availability: Transportation Research Board Business Office 500 Fifth Street, NW Find a library where document is available Abstract: Enhancements were provided to a previously developed genetic algorithm (GA) for traffic signal optimization for oversaturated traffic conditions. A broader range of optimization strategies was provided to include modified delay minimization with a penalty function and throughput maximization. These were added to the initial delay minimization strategy and were further extended to cover all operating conditions. The enhanced program was evaluated at different intersection spacings. The optimization strategies were evaluated and compared with their counterpart from TRANSYT-7F, version 8.1. A microscopic stochastic simulation program, CORSIM, was used as the unbiased evaluator. Hypothesis testing indicated that the GA-based program with average delay minimization produced a superior signal-timing plan compared with those produced by other GA strategies and the TRANSYT-7F program in terms of queue time. It was also found from the experiments that TRANSYT-7F tended to select longer cycle lengths than the GA program to reduce random plus oversaturation delay.
Supplemental Notes: This paper appears in Transportation Research Record No. 1727, Advanced Traffic Management Systems and Automated Highway Systems 2000.
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Park, BMesser, C JUrbanik II, ThomasPagination: p. 32-41
Publication Date: 2000
Serial: ISBN: 0309067340
Features: Figures
(6)
; References
(23)
; Tables
(3)
TRT Terms: Identifier Terms: Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; I73: Traffic Control
Files: TRIS, TRB, ATRI
Created Date: Dec 5 2001 12:00AM
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