文章基本信息

标题：Evaluating City Logistics Measure in E-Commerce with Multiagent Systems
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作者：Joel S.E. Teo ; Joel S.E. Teo ; Eiichi Taniguchi 等
期刊名称：Procedia - Social and Behavioral Sciences
印刷版ISSN：1877-0428
出版年度：2012
卷号：39
页码：349-359
DOI：10.1016/j.sbspro.2012.03.113
语种：English
出版社：Elsevier
摘要：AbstractThis paper presents a multi-agent systems (MAS) model to evaluate City Logistics measure for an urban road network in an e-commerce delivery system environment. Most notable contribution of this evaluation methodology is the combination of vehicle routing and scheduling problem with time window (VRPTW), auction theory and reinforcement learning in a multi-agent framework. This approach seeks to represent the behaviour of each stakeholder involved in the delivery of goods between producers and customers. The preliminary results of the model shows that Government-driven City Logistics measures such as freight vehicle road pricing has the potential of reducing truck emission when the administrator learns and price the road links.
关键词：City logistics;urban freight transport;stakeholder;multi-agent systems;Q-learning;freight vehicle road pricing