An optimal algorithm for automated truck freight transportation via lane reservation strategy

被引:39
作者
Fang, Yunfei [1 ,2 ]
Chu, Feng [1 ]
Mammar, Said [1 ]
Che, Ada [3 ]
机构
[1] Univ Evry Val dEssonne, Lab Informat Biol Integrat & Syst Complexes IBISC, EA 4526, F-91020 Evry, France
[2] Univ Technol Troyes, Inst Charles Delaunay, Lab Optimisat Syst Ind ICD LOSI, UMR CNRS 6279, F-10010 Troyes, France
[3] Northwestern Polytech Univ, Sch Management, Xian 710072, Shaanxi, Peoples R China
关键词
Automated truck; Freight transportation; Lane reservation strategy; Integer linear programming; Cut-and-solve method; Optimal algorithm; CUT-AND-SOLVE;
D O I
10.1016/j.trc.2012.07.004
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
This paper investigates an automated truck transportation problem via lane reservation strategy. The focus of the problem is to design lane reservation based paths for time-efficient transportation. The lane reservation strategy requires to select some existing general-purpose lanes from a transportation network and convert them to automated truck lanes in order to ensure the time-guaranteed transportation. However, such conversion may cause traffic impact such as increase of travel time on adjacent lanes due to the disallowing use of the automated truck lanes by the general-purpose vehicles. Thus, the problem aims at optimally designing the time-efficient truck paths while minimizing the impact on the overall network performance. The considered problem is formulated as an integer linear program and is demonstrated NP-hard. To solve it, an optimal algorithm based on the cut-and-solve method is proposed. Numerical computational results of randomly generated instances show the efficiency of the proposed algorithm compared with a referenced software package CPLEX 12.1. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:170 / 183
页数:14
相关论文
共 14 条
[1]  
[Anonymous], 1972, P COMPLEXITY COMPUTE
[2]   Cut-and-solve: An iterative search strategy for combinatorial optimization problems [J].
Climer, Sharlee ;
Zhang, Weixiong .
ARTIFICIAL INTELLIGENCE, 2006, 170 (8-9) :714-738
[3]  
Jeschke S, 2011, AUTOMATION, COMMUNICATION AND CYBERNETICS IN SCIENCE AND ENGINEERING 2009/2010, P1, DOI 10.1007/978-3-642-16208-4
[4]   AN OPTIMIZATION-BASED HEURISTIC FOR VEHICLE-ROUTING AND SCHEDULING WITH SOFT TIME WINDOW CONSTRAINTS [J].
KOSKOSIDIS, YA ;
POWELL, WB ;
SOLOMON, MM .
TRANSPORTATION SCIENCE, 1992, 26 (02) :69-85
[5]   THE VEHICLE-ROUTING PROBLEM - AN OVERVIEW OF EXACT AND APPROXIMATE ALGORITHMS [J].
LAPORTE, G .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1992, 59 (03) :345-358
[6]   Fifty Years of Vehicle Routing [J].
Laporte, Gilbert .
TRANSPORTATION SCIENCE, 2009, 43 (04) :408-416
[7]   Vehicle routing scheduling for cross-docking in the supply chain [J].
Lee, Young Hae ;
Jung, Jung Woo ;
Lee, Kyong Min .
COMPUTERS & INDUSTRIAL ENGINEERING, 2006, 51 (02) :247-256
[8]   Impact of a Dedicated Lane on the Capacity and the Level of Service of an Urban Motorway [J].
Princeton, Judith ;
Cohen, Simon .
6TH INTERNATIONAL SYMPOSIUM ON HIGHWAY CAPACITY AND QUALITY OF SERVICE, 2011, 16
[9]   Truck Automation Operational Concept Alternatives [J].
Shladover, Steven E. .
2010 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), 2010, :1072-1077
[10]  
Tsao H., 2002, TECHNICAL REPORT