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A multi-destination daily carpooling problem and an ant colonybased resolution method

Published online by Cambridge University Press:  29 November 2013

Yuhan Guo ,
Gilles Goncalves  and
Tienté Hsu
Yuhan Guo
Affiliation:
Univ Lille Nord de France, 59000 Lille, France. UArtois, LGI2A, 62400, Béthune, France.. jonguo.fr@gmail.com
Gilles Goncalves
Affiliation:
Univ Lille Nord de France, 59000 Lille, France. UArtois, LGI2A, 62400, Béthune, France.. jonguo.fr@gmail.com
Tienté Hsu
Affiliation:
Univ Lille Nord de France, 59000 Lille, France. UArtois, LGI2A, 62400, Béthune, France.. jonguo.fr@gmail.com

Abstract

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The rising car usage deriving from growth in jobs and residential population causes airpollution, energy waste and consumption of people’s time. Public transport cannot be theonly answer to this increasing transport demand. Carpooling, which is based on the ideathat sets of car owners pick up colleagues while driving to or from the workplace, hasemerged to be a viable possibility for reducing private car usage in congested areas. Itsactual practice requires a suitable information system support and, the most important,the capability of effectively solving the underlying combinatorial optimization problem.This paper describes an ant colony algorithm based hybrid approach (HAC) for solving themulti-destination carpooling problem. Experiments have been performed to confirm theefficiency and the effectiveness of the approach.

Keywords

Transportationvehicle routingcarpooling problemant colony algorithm

Information

Type
Research Article
Information
RAIRO - Operations Research , Volume 47 , Issue 4: ROADEF 2012 , September 2013 , pp. 399 - 428
Copyright
© EDP Sciences, ROADEF, SMAI 2013

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