Markov-Based Lane Positioning Using Intervehicle Communication

Thanh-Son Dao, University of Waterloo
Keith Yu Kit Leung, University of Waterloo
Christopher M. Clark, California Polytechnic State University - San Luis Obispo
Jan Paul Huissoon, University of Waterloo

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Abstract

The majority of today's navigation techniques for intelligent transportation systems use global positioning systems (GPS) that can provide position information with bounded errors. However, due to the low accuracy that is experienced with standard GPS, it is difficult to determine a vehicle's position at lane level. Using a Markov-based approach based on sharing information among a group of vehicles that are traveling within communication range, the lane positions of vehicles can be found. The algorithm's effectiveness is shown in both simulations and experiments with real data.