Intelligent freight-transportation systems: Assessment and the contribution of operations research

被引:155
|
作者
Crainic, Teodor Gabriel [1 ,2 ]
Gendreau, Michel [3 ,4 ]
Potvin, Jean-Yves [3 ,4 ]
机构
[1] Univ Quebec, Dept Management & Technol, ESG, Montreal, PQ H3C 3P8, Canada
[2] Univ Quebec, Interuniv Res Ctr Enterprise Networks Logist & Tr, Montreal, PQ H3C 3P8, Canada
[3] Univ Montreal, Dept Informat & Rech Operat, Montreal, PQ H3C 3P8, Canada
[4] Univ Montreal, Interuniv Res Ctr Enterprise Networks Logist & Tr, Montreal, PQ H3C 3P8, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Intelligent Transportation Systems; Freight transportation; CVO; AFMS; City logistics; e-Business; DYNAMIC-PROGRAMMING ALGORITHM; PARALLEL TABU SEARCH; COMBINATORIAL AUCTIONS; FLEET MANAGEMENT; INFORMATION TECHNOLOGY; WAITING STRATEGIES; DELIVERY PROBLEM; MODELS; TRAVEL; PROCUREMENT;
D O I
10.1016/j.trc.2008.07.002
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
While it is certainly too early to make a definitive assessment of the effectiveness of Intelligent Transportation Systems (ITS), it is not to take stock of what has been achieved and to think about what could be achieved in the near future. In our opinion, ITS developments have been up to now largely hardware-driven and have led to the introduction of many sophisticated technologies in the transportation arena, while the development of the software component of ITS, models and decision-support systems in particular, is lagging behind. To reach the full potential of ITS, one must thus address the challenge of making the most intelligent usage possible of the hardware that is being deployed and the huge wealth of data it provides. We believe that transportation planning and management disciplines, operations research in particular, have a key role to play with respect to this challenge. The paper focuses on Freight ITS: Commercial Vehicle Operations and Advanced Fleet Management Systems, City Logistics, and electronic business. The paper reviews main issues, technological challenges, and achievements, and illustrates how the introduction of better operations research-based decision-support software could very significantly improve the ultimate performance of Freight ITS. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:541 / 557
页数:17
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