Simulation analysis of decisionmaking policy for

Authors: Naoto Mukai Toyohide Watanabe

Publish Date: 2008/04/02

Volume: 31, Issue: 3, Pages: 225-

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Abstract

In recent years ondemand transport systems such as a demandbus system are focused as a new transport service in Japan An ondemand vehicle visits pickup and delivery points by doortodoor according to the occurrences of requests This service can be regarded as a cooperative or competitive profit problem among transport vehicles Thus a decisionmaking for the problem is an important factor for the profits of vehicles ie drivers However it is difficult to find an optimal solution of the problem because there are some uncertain risks eg the occurrence probability of requests and the selfishness of other rival vehicles Therefore this paper proposes a transport policy for ondemand vehicles to control the uncertain risks First we classify the profit of vehicles as “assured profit” and “potential profit” Second we propose a “profit policy” and “selection policy” based on the classification of the profits Moreover the selection policy can be classified into “greed” “mixed” “competitive” and “cooperative” These selection policies are represented by selection probabilities of the next visit points to cooperate or compete with other vehicles Finally we report simulation results and analyze the effectiveness of our proposal policies

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