Dynamic User Equilibrium Traffic Assignment on Congested Multidestination Network

Abstract

This paper presents the development of a dynamic user equilibrium (DUE) traffic-assignment model for the congested urban road network with signalized intersections. A simulation-based approach is employed for the case of multiple-origin multiple-destination traffic flows. The modified method of successive averages (MSA) is developed to arrive at the user equilibrium condition. The proposed method is applied to an example network, and its results are compared with the results obtained by using the artificial intelligence technique of genetic algorithms (GAs). It is concluded that the formulated DUE model avoids the all-or-nothing type of assignment and gives results closer to the equilibrium condition, and the modified MSA gives better results with lesser computation time as compared to GAs.