Title: Algorithm research for capacity-constrained stochastic traffic assignment model

Authors: Yong Yang; Yu-Song Yan; Zuo-An Hu; Pan Xie

Addresses: School of Transportation and Logistics, Southwest Jiao tong University, Chengdu, 610031, China ' School of Transportation and Logistics, Southwest Jiao tong University, Chengdu, 610031, China ' School of Transportation and Logistics, Southwest Jiao tong University, Chengdu, 610031, China ' School of Transportation and Logistics, Southwest Jiao tong University, Chengdu, 610031, China

Abstract: The paper presents incremental load algorithm and successive equilibrium algorithm to solve the stochastic capacity-constrained traffic assignment model on the base of combining the Fisk's logit assignment optimal theory and Wardrop's optimisation principals. A system optimal quantitative indicator based on minimum O-D average cost principal is developed to evaluate the traffic flow assignment result. The simulation results for a small traffic network show that more reasonable traffic assignment is achieved when using more batches and optimal batch ratios with incremental load algorithm, while, the overall result is superior utilising successive equilibrium algorithm.

Keywords: traffic flow assignment; capacity constraints; stochastic networks; incremental load; successive equilibrium; system optimisation; modelling; simulation; urban traffic congestion.

DOI: 10.1504/IJICT.2014.063214

International Journal of Information and Communication Technology, 2014 Vol.6 No.3/4, pp.241 - 250

Received: 16 Mar 2013
Accepted: 27 May 2013
Published online: 26 Jul 2014 *

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