Study of Statistical Models for Route Prediction Algorithms in VANET

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Provided by: Academic Hosting & Event Management Solutions
Topic: Networking
Format: PDF
Vehicle-To-Vehicle (V2V) communication is a concept greatly studied during the past years. Vehicles equipped with devices capable of short-range wireless connectivity can form a particular mobile ad-hoc network, called a \"Vehicular Ad-hoc NETwork\" (VANET). The users of a VANET, drivers or passengers, can be provided with useful information and with a wide range of interesting services. Route prediction is the missing piece in several proposed ideas for intelligent vehicles. In this paper, the authors are studying the algorithms that predict a vehicle's entire route as it is driven.
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