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Multiobjective Plan Selection Optimization for Traffic Responsive Control
Civil Engineering Faculty Publications
  • Montasir M. Abbas, Virginia Tech
  • Anuj Sharma, University of Nebraska - Lincoln
Date of this Version
5-1-2006
Disciplines
Citation

Journal of Transportation Engineering (2006) 132(5): 376-384. DOI: 10.1061/(ASCE)0733-947X.2006.132:5.376.

Comments

Copyright 2006, ASCE. Used by permission.

Abstract
Optimal coordination of traffic signals requires proper activation of timing plans to match current traffic conditions. One of the greatest challenges in configuring a traffic responsive plan selection control mode is how to select only n number of timing plans (restricted by traffic controller memory limitations) to address possibly all traffic conditions/states that can be encountered in the field, for a specific site, but most importantly, how to associate each of these traffic conditions to one of the n timing plans stored in the traffic controller. This paper uses a multiobjective non-dominated sorting genetic algorithm to (1) select the best n timing plans to be stored in the controller and (2) group traffic states into m number of clusters, and associate each of the m clusters with one of the stored timing plans. A new performance measure, degree of detachment, developed by the writers to address the clustering requirements, is described in this paper.
Citation Information
Montasir M. Abbas and Anuj Sharma. "Multiobjective Plan Selection Optimization for Traffic Responsive Control" (2006)
Available at: http://works.bepress.com/anuj_sharma/16/