文章基本信息

标题：Multi-agent Systems Modelling for Evaluating Joint Delivery Systems
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作者：Ornkamon Wangapisit ; Ornkamon Wangapisit ; Eiichi Taniguchi 等
期刊名称：Procedia - Social and Behavioral Sciences
印刷版ISSN：1877-0428
出版年度：2014
卷号：125
页码：472-483
DOI：10.1016/j.sbspro.2014.01.1489
语种：English
出版社：Elsevier
摘要：AbstractThis paper presents the Multi-Agent System (MAS) model for evaluating city logistics measures like the joint delivery systems and car parking management. This research is directed at evaluating possible measures that will provide logistics efficiency in a city faced with congested urban traffic conditions. The focus of the study is on the interaction and cooperation between urban freight stakeholders when city logistics measures are implemented and to investigate the behaviour of stakeholders with their objectives. The preliminary results of the model show that the joint delivery system and car parking management have the potential for improving environmental issues. In addition, the subsidies by the shopping street association and car parking management policy of the government can increase the frequency of UDC usage.
关键词：Multi-agent systems;joint delivery systems;city logistics;reinforcement learning