A context-aware solution for personalized en-route information through a P2P agent-based architecture

Abstract

Communication technologies and the management of context aware information are two key researching lines in the intelligent transportation domain. A suited network infrastructure which allows Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I) communications, on one hand, and the provision of location-based information adapted to the driver, on the other hand, comprise two important components in vehicle telematics field. Following this idea, our work includes a communication infrastructure based on Peer to Peer (P2P) networks which deals with V2V and V2I requirements. Reasoning agents have been integrated in the designed network, so the vehicle and the infrastructure's entities act as agents which adapt the information about the traffic area according to a driver profile. The paper describes also a prototype which implements both the vehicle edge, using an adapted vehicle, and the road edge, developing the network infrastructure and the knowledge management system. A performance study of the inference of contextual information has been added as well. © Springer-Verlag Berlin Heidelberg 2007.