Evaluating City Logistics Measure in E-Commerce with Multiagent Systems
- 作者：Joel S.E. Teo ; joel.teo@kiban.kuciv.kyoto-u.ac.jp ; Eiichi Taniguchi ; Ali Gul Qureshi
- 关键词：City logistics ; urban freight transport ; stakeholder ; multi-agent systems ; Q-learning ; freight vehicle road pricing
- 刊名：Procedia - Social and Behavioral Sciences
- 出版年：2012
- 期刊代码：P145_18770428
- 类别：soc
- 出版时间：2012
- 卷：39
- 期：Complete
- 页码：349-359
- 文件大小：1578 K
摘要
This 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.