Application of Stochastic Optimization Method for an Urban Corridor

Author

Yun, Ilsoo ; Park, Byungkyu Brian

Author_Institution

Dept. of Civil Eng., Virginia Univ., Charlottesville, VA

fYear

2006

fDate

3-6 Dec. 2006

Firstpage

1493

Lastpage

1499

Abstract

This paper presents a stochastic traffic signal optimization method that consists of the CORSIM microscopic traffic simulation model and a heuristic optimizer. For the heuristic optimizer, the performance of three widely used optimization methods (i.e., genetic algorithm, simulated annealing and OptQuest Engine) was compared using a real world test corridor with 12 signalized intersections in Fairfax, Virginia, USA. The performance of the proposed stochastic optimization method was compared with an existing signal timing optimization program, SYNCHRO, under microscopic simulation environment. The results indicated that the genetic algorithm-based optimization method outperforms the SYNCHRO program as well as the other stochastic optimization methods in the optimization of traffic signal timings for the test corridor

Keywords

genetic algorithms; road traffic; simulated annealing; stochastic processes; timing; traffic engineering computing; CORSIM microscopic traffic simulation; OptQuest Engine; genetic algorithm; signal timing optimization; simulated annealing; stochastic traffic signal optimization; urban corridor; Communication system traffic control; Computational modeling; Microscopy; Optimization methods; Simulated annealing; Stochastic processes; Testing; Timing; Traffic control; Transportation;

fLanguage

English

Publisher

ieee

Conference_Titel

Simulation Conference, 2006. WSC 06. Proceedings of the Winter

Conference_Location

Monterey, CA

Print_ISBN

1-4244-0500-9

Electronic_ISBN

1-4244-0501-7

Type

conf

DOI

10.1109/WSC.2006.322918

Filename

4117776