Abstract | ||
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Shared ride systems match the travel demand of transport clients with the supply by vehicles, or hosts, such that the clients find rides to their destinations. A peer-to-peer shared ride system allows clients to find rides in an ad-hoc manner, by negotiating directly with nearby hosts via radio-based communication. Such a peer-to-peer shared ride system has to deal with various types of hosts, such as private cars and mass transit vehicles. Their different behaviors affect the negotiation process, and consequently the travel choices. In this paper, we present and discuss a model of a peer-to-peer shared ride system with different types of agents. The behavior of the model is investigated in a simulation of different communication and way-finding strategies. We demonstrate that different types of agents enrich the choices of the clients, and lead to local solutions that are nearly optimal. |
Year | DOI | Venue |
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2006 | 10.1007/978-3-540-79996-2_14 | GeoSensor Networks |
Keywords | Field | DocType |
different behavior,travel demand,local solution,ad-hoc manner,shared ride system,different communication,travel choice,radio-based communication,ride system,peer-to-peer shared ride systems,different type,global optimization,data aggregation | World Wide Web,Mobile client,Street network,Peer-to-peer,Trip planning,Computer science,Computer security,Mobility model,Negotiation,Distributed computing,Destinations | Conference |
Volume | ISSN | Citations |
4540 | 0302-9743 | 8 |
PageRank | References | Authors |
0.60 | 8 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yun Hui Wu | 1 | 11 | 0.99 |
Lin Jie Guan | 2 | 8 | 0.94 |
Stephan Winter | 3 | 643 | 45.20 |