@inproceedings{710274bcbaa64b6a83bbf38bfd0f98d4,
title = "Multiobjective traffic signal timing optimization using non-dominated sorting genetic algorithm",
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.",
author = "Dazhi Sun and Benekohal, {Rahim F.} and Waller, {S. Travis}",
note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; 2003 IEEE Intelligent Vehicles Symposium, IV 2003 ; Conference date: 09-06-2003 Through 11-06-2003",
year = "2003",
doi = "10.1109/IVS.2003.1212908",
language = "English (US)",
series = "IEEE Intelligent Vehicles Symposium, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "198--203",
booktitle = "IEEE Intelligent Vehicles Symposium, Proceedings",
address = "United States",
}