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Adopting stochastic user equilibrium assignment models (SUE) for traffic assignment has been considered in p rofessional practice.Although in SUE scale parameter, which accounts for drivers' uncertain cognition for travel ti me at route choice decision-making, must be set exogenously, a reasonable setting has remained to be solved.This study aims at examining a method of the setting, and multi-class SUE, which considers the differences of drivers¸ cognitive errors for travel time as travel time varies, was applied to an actual road network.The finding is that th e scale parameter differences relate to detailed traffic contents rather than to link traffic volume.

A Study on Scale-Parameter of Stochastic User Equilibrium Assignment Models