Abstract
In order to apply the probabilistic vehicle routing and scheduling model to urban traffic, this paper analyzed the real traffic information given by VICS. We performed numerical simulation on test road network to represent a congested urban traffic. We compared total costs of the probabilistic vehicle and scheduling model with the forecasted vehicle routing and scheduling model for several duration times of travel time information. Even with long duration time of travel time information, the probabilistic routing and scheduling model can decrease the total costs as well as keep high service level by avoiding delay arrival at customers.
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