The existing models for predicting the temporal distribution of peak traffic demand are reviewed in this paper. Based on their assumptions and concepts, the models are classified into three groups as follows: deterministic user equilibrium (DUE), stochastic user equilibrium (SUE) and system...

An incremental heuristic is presented for estimating the departure rate of commuters in a network. Other results that can be obtained from the model include time-dependent flows of traffic and travel times for each link in the network. The model is able to handle multiple origin-destination...

In this, the logit-based stochastic traffic assignment model is explored. Two new improved algorithms are presented for solving this type of stochastic assignment problem. The major improvement achieved in these algorithms is that the step length in each iteration of the search process is...