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Multiobjective traffic signal timing optimization using non-dominated sorting genetic algorithm

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3 Author(s)
Sun, D. ; Dept. of Civil & Environ. Eng., Illinois Univ., Urbana, IL, USA ; Benekohal, R.F. ; Waller, S.T.

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.

Published in:

Intelligent Vehicles Symposium, 2003. Proceedings. IEEE

Date of Conference:

9-11 June 2003