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VAMI - A novel architecture for vehicular ambient intelligent system
Published in
Volume: 245 CCIS
Pages: 55 - 64
Vehicular communication involves many decision making situations. The existing models for packet routing in VANET fails in cases needing fast decision making. Ambient Intelligence (AmI) system is a relatively new technique which aim at augmenting real environments where users are provided with pervasive virtual services. The ability to learn very quickly from the ambience of an object, and transforming that information into specific response involves a heterogeneous network comprising of vehicles, humans, and road side units. This paper proposes a modular architecture for information sensing, communicating, updation of knowledge-bas, etc, aimed at generating alarms in emergency situations. The emergency situation might involve abnormal physical behaviour, road blockage due to accidents or diversions, etc. © 2011 Springer-Verlag.
About the journal
JournalCommunications in Computer and Information Science