Nowadays, in transport sector, more researches are established in order to find solutions for the existing problems such as the future shortage of oil, the global warming. Most of these researches are turning to innovative alternative of private car like carsharing and carpooling. These means of transport represent a promising answer for economic and environment problems. In fact, total cost and gas emission quantities are considerably reduced if they are divided by the number of passengers. An evolutionary optimization method is proposed based on multi-agent approach which takes into account all possible means of transport, including carsharing, carpooling and multimodal common transport in order to satisfy transport user itineraries demands, respecting environment state. The work is financed by the ademe (Agence de l'Environnement et de la Maîtrise de l'Energie) and the regional council NPdC.
Vehicle sharing services optimization based on multi-agent approach
2011
6 Seiten, 3 Bilder, 1 Tabelle, 11 Quellen
Aufsatz (Konferenz)
Datenträger
Englisch
AN AGENT-BASED MODELLING FOR RIDE SHARING OPTIMIZATION USING A* ALGORITHM AND CLUSTERING APPROACH
DOAJ | 2019
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