Artificial Intelligence
Experiences creating three implementations of the repast agent modeling toolkit
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Towards lightweight information dissemination in inter-vehicular networks
Proceedings of the 3rd international workshop on Vehicular ad hoc networks
Resource discovery using spatio-temporal information in mobile ad-hoc networks
W2GIS'05 Proceedings of the 5th international conference on Web and Wireless Geographical Information Systems
Decentralized Movement Pattern Detection amongst Mobile Geosensor Nodes
GIScience '08 Proceedings of the 5th international conference on Geographic Information Science
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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.