Multiobjective Plan Selection Optimization for Traffic Responsive Control

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 nondominated 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.