NDLI: Vehicle type and route selection for emergency logistic management under road damage

Content Provider	IEEE Xplore Digital Library
Author	Xinzheng Yang Yunjian Jiang Yong Zhang Zhiyuan Liu
Copyright Year	2015
Description	Author affiliation: Sch. of Automobile, Chang'an Univ., Xi'an, China (Xinzheng Yang) \|\| Sch. of Transp., Southeast Univ., Nanjing, China (Yunjian Jiang; Yong Zhang; Zhiyuan Liu)
Abstract	Roads in the affected areas are usually damaged during big natural disasters, and it results in blocked road, reduced road capacity, lower vehicle speed and severe restrictions for travelling. Besides, vehicles are donated temporarily by numerous groups and various in their performance. This paper takes the above problems caused by road damage into consideration, and the vehicle route decision are made. Then a multiple vehicles type with different load capacity and travelling performance is considered, and the suitable vehicle type is selected for each route in order to confirm that the vehicles can pass though the assigned route safely. A mixed integer linear model is proposed for the decisions, with the aim of minimizing deliver time for relief goods as well as minimizing the number of vehicles used in the relief, and an algorithm based on Label Setting Algorithm is designed to solve the problem. Finally, a 15-node network example is adopted to numerically verify the proposed models, and the selection truck-load transportation and less-than-truck-load transportation is discussed.
Starting Page	100
Ending Page	105
File Size	289634
Page Count	6
File Format	PDF
e-ISBN	9781467384803
DOI	10.1109/SOLI.2015.7367600
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-15
Publisher Place	Tunisia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Emergency Logistic Management Roads Conferences Vehicle routing Path Selection Road Damage Vehicle Type Selection Vehicles Logistics Label Setting Algorithm
Content Type	Text
Resource Type	Article

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