文章基本信息

标题：Evaluating city logistics measures using a multi-agent model
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作者：Dai Tamagawa ; Dai Tamagawa ; Eiichi Taniguchi 等
期刊名称：Procedia - Social and Behavioral Sciences
印刷版ISSN：1877-0428
出版年度：2010
卷号：2
期号：3
页码：6002-6012
DOI：10.1016/j.sbspro.2010.04.014
语种：English
出版社：Elsevier
摘要：AbstractThis paper presents a methodology for evaluating city logistics measures considering the behaviour of several stakeholders associated with urban freight transport using a multi-agent model. The model constructed consists of a learning model and a model for vehicle routing and scheduling problem with time window-forecasted (VRP-TW-F). We used a method of Q-learning, a technique of reinforcement learning, in constructing a learning model. We implemented the model on a test road network representing an urban area. The results indicate that implementing a truck ban directly to environmentally damaged areas and discounting motorway tolls entirely in the urban motorway network together has large environmental effects, and leads to an acceptable environment for all stakeholders.
关键词：City logistics;urban freight transport;stakeholder;multi-agent model;Q-learning