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Title: LOCAL AND ITERATIVE SEARCHES FOR COMBINED SIGNAL CONTROL AND ASSIGNMENT PROBLEM: IMPLEMENTATION AND NUMERICAL EXAMPLES
Accession Number: 00780215
Record Type: Component
Record URL: Availability: Transportation Research Board Business Office 500 Fifth Street, NW Find a library where document is available Abstract: Traffic signal-setting policies and traffic assignment procedures are mutually dependent. The combined signal control and traffic assignment problem deals with this interaction. With the total travel time minimization objective, gradient-based local search methods are implemented. Deterministic user equilibrium is the selected user route choice rule, Webster's delay curve is the link performance function, and green-time-per-cycle ratios are decision variables. Three solution codes are implemented, resulting in six variations including intersections with multiphase operation and overlapping traffic movements. For reference, the iterative approach is also coded, and all codes are tested in four example networks at five demand levels. The results show the numerical gradient estimation procedure performs best, although the simplified local searches reduce the large network computational burden. Demand level as well as network size affects the relative performance of the local and iterative approaches. As demand level becomes higher, (a) in the small network, the local search tends to outperform the iterative search, and (b) in the large network, the opposite result is obtained.
Supplemental Notes: This paper appears in Transportation Research Record No. 1683, Advanced Traffic Management Systems.
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Lee, C KMachemehl, R BPagination: p. 102-109
Publication Date: 1999
Serial: ISBN: 0309071100
Features: Figures
(10)
; References
(26)
; Tables
(3)
TRT Terms: Subject Areas: Highways; Operations and Traffic Management; I73: Traffic Control
Files: TRIS, TRB, ATRI
Created Date: Dec 8 1999 12:00AM
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