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.
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