Vehicle Routing Problem for Emissions Minimization

被引:145
作者
Figliozzi, Miguel [1 ]
机构
[1] Portland State Univ, Dept Civil & Environm Engn, Portland, OR 97207 USA
关键词
D O I
10.3141/2197-01
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Environmental, social, and political pressures to limit the effects associated with greenhouse gas emissions are mounting. Little research has been done on reducing emissions as the primary objective of a routing problem despite the growth in use and impact of commercial vehicles. In the capacitated vehicle routing problem (VRP) with time windows, it is traditionally assumed that carriers minimize the number of vehicles as a primary objective and distance traveled as a secondary objective without violating time windows, route durations, or capacity constraints. New research focuses on a different problem: the minimization of emissions and fuel consumption as the primary or secondary objective. This creates the emissions V:RP (EVRP). A formulation and solution approaches for the EVRP are presented. Decision variables and properties are stated and discussed. Results obtained with a proposed EVRP solution approach for different levels of congestion are compared and analyzed.
引用
收藏
页码:1 / 7
页数:7
相关论文
共 19 条
[1]  
Barth M., 2008, Transportation Research Record: Journal of the Transportation Research Board, P163, DOI DOI 10.3141/2058-20
[2]   Improving computerized routing and scheduling and vehicle telematics: A qualitative survey [J].
Baumgartner, Michael ;
Leonardi, Jacques ;
Krusch, Oliver .
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2008, 13 (06) :377-382
[3]  
Desrochers M., 1988, VEHICLE ROUTING METH, V16, P65
[4]  
Figliozzi M., 2009, 88 ANN M TRANSP RES
[5]  
FIGLIOZZI MA, TRANSPORTATION RES C, V18, P668
[6]  
Frey H. C., 2008, TRANSPORT RES REC, V2058, P23, DOI DOI 10.3141/2058-04
[7]  
GOODCHILD A, 2009, OD WORKSH 2009 INT W
[8]  
Hickman A.J., 1999, METHODOLOGY CALCULAT
[9]  
*ICF CONS, 2006, NCHRP PROJ 25 25 TAS
[10]   Genetic algorithm for the time-dependent vehicle routing problem [J].
Jung, S ;
Haghani, A .
TRANSPORTATION NETWORK MODELING 2001: PLANNING AND ADMINISTRATION, 2001, (1771) :164-171