A Stochastic Approach for Estimating the Effectiveness of a Route Guidance System and Its Related Parameters

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Abstract
Mathematical models are developed for estimating the effectiveness of a route guidance system (RGS) in which the control strategy is to guide vehicles toward the shortest travel time routes. These models are formulated by considering the stochastic nature of travel time. The parameters which characterize the models are defined and a quantitative analysis of the models is given for various values of the parameters. It is shown that the effectiveness of RGS can be estimated by the number of nodes along the route. The results derived from the models are shown to agree with experimental data collected from a route guidance system constructed in Tokyo. Some practical applications of the results are discussed.

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