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

Published online by Cambridge University Press:  29 November 2013

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
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Abstract

The rising car usage deriving from growth in jobs and residential population causes air pollution, energy waste and consumption of people’s time. Public transport cannot be the only answer to this increasing transport demand. Carpooling, which is based on the idea that sets of car owners pick up colleagues while driving to or from the workplace, has emerged to be a viable possibility for reducing private car usage in congested areas. Its actual 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 the multi-destination carpooling problem. Experiments have been performed to confirm the efficiency and the effectiveness of the approach.

Type
Research Article
Copyright
© EDP Sciences, ROADEF, SMAI 2013

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