Evaluating city logistics measure in e-commerce with multi-agent systems

被引：36

作者：

Teo, Joel S. E. ^{[1
]}

Taniguchi, Eiichi ^{[1
]}

Qureshi, Ali Gul ^{[1
]}

机构：

[1] Kyoto Univ, Dept Urban Management, Nishikyo Ku, Kyoto 6158540, Japan

来源：

SEVENTH INTERNATIONAL CONFERENCE ON CITY LOGISTICS | 2012年 / 39卷

关键词：

City logistics; urban freight transport; stakeholder; multi-agent systems; Q-learning; freight vehicle road pricing;

D O I：

10.1016/j.sbspro.2012.03.113

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

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. (C) 2012 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the 7th International Conference on City Logistics

引用

页码：349 / 359

页数：11

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