Title :
Multiobjective traffic signal timing optimization using non-dominated sorting genetic algorithm
Author :
Sun, Dazhi ; Benekohal, Rahim F. ; Waller, S. Travis
Author_Institution :
Dept. of Civil & Environ. Eng., Illinois Univ., Urbana, IL, USA
Abstract :
The purpose of this paper is to investigate the application of non-dominated sorting genetic algorithm in solving the multiobjective signal timing optimization problem (MOSTOP). Three n-objective signal timing optimization problems with m-constraint, which cover both deterministic and stochastic traffic patterns, are defined and solved in this study. Mathematical approximations of the resulting Pareto Frontiers are presented to evaluate the trade-off among various objectives and thus provide the most appropriate alternatives for all potential situations of the intersection traffic signal design.
Keywords :
Pareto optimisation; genetic algorithms; road traffic; signalling; stochastic processes; traffic control; traffic engineering computing; Pareto Frontiers; deterministic traffic patterns; intersection traffic signal design; mathematical approximations; multiobjective traffic signal timing optimization; nondominated sorting genetic algorithm; stochastic traffic patterns; Delay; Design optimization; Genetic algorithms; Optimization methods; Signal design; Sorting; Stochastic processes; Sun; Timing; Traffic control;
Conference_Titel :
Intelligent Vehicles Symposium, 2003. Proceedings. IEEE
Print_ISBN :
0-7803-7848-2
DOI :
10.1109/IVS.2003.1212908
