| Issue |
RAIRO-Oper. Res.
Volume 47, Number 4, September-December 2013
ROADEF 2012
|
|
|---|---|---|
| Page(s) | 399 - 428 | |
| Section | Special ROADEF 2012 | |
| DOI | https://doi.org/10.1051/ro/2013049 | |
| Published online | 29 November 2013 | |
A multi-destination daily carpooling problem and an ant colony based resolution method
1 Univ Lille Nord de
France, 59000
Lille,
France.
2 UArtois, LGI2A,
62400, Béthune, France.
jonguo.fr@gmail.com
Received:
7
October
2013
Accepted:
15
October
2013
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.
Mathematics Subject Classification: 90B06
Key words: Transportation / vehicle routing / carpooling problem / ant colony algorithm
© EDP Sciences, ROADEF, SMAI 2013
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