A combinatorial model and algorithm involving the origin–destination (OD) distribution and a stochastic user equilibrium assignment

Because the randomness of transportation information has not been fully considered in present practical transportation planning, the accuracy or efficiency of transportation planning is reduced. In order to overcome this drawback, the combinatorial model used here simultaneously involves an origin–destination (OD) distribution of trips in a transportation network and stochastic user equilibrium assignment (SUEA) of trips to routes in each OD pairs was developed on the basis of analysis on randomness in choices of route and destination for a given model.