Dynamic User Equilibrium Traffic Assignment on Congested Multidestination Network

• Published in: Journal of transportation engineering Vol. 130; no. 2; pp. 211 - 221
• Main Authors: Varia, H. R, Dhingra, S. L
• Format: Journal Article
• Language: English
• Published: Reston, VA American Society of Civil Engineers 01.03.2004
• Subjects: Applied sciences; Dynamic programming; Equilibrium; Exact sciences and technology; Ground, air and sea transportation, marine construction; Road transportation and traffic; TECHNICAL PAPERS; Traffic assignment; Transportation planning, management and economics; Users; Road network; Equilibrium condition; Equilibrium; Optimization; Origin destination model; Result; Traffic flow; Urban road traffic; Simulation; Traffic assignment; Genetic algorithm; Transportation networks; Objective function; Simulation model; Dynamic model; Traffic congestion; Comparative study
• ISSN: 0733-947X; 1943-5436
• DOI: 10.1061/(ASCE)0733-947X(2004)130:2(211)

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.