Reliable vehicle type recognition based on information fusion in multiple sensor networks

With the purpose to improve the real-time performance and accuracy of vehicle type recognition in complex traffic scenes, this paper proposed an information fusion based vehicle type recognition method. Firstly, the multiple sensor network built of geomagnetic sensors is described, whose characteristics include easy deployment and being budget friendly. Then, the vehicle type recognition method for the proposed multiple sensor network is applied. The main innovation of the method is matching the data collected by multiple sensors to form a fusion feature waveform for a single vehicle. Finally, the experimental results showed that the proposed method had 95% accuracy for small vehicles (Passenger vehicles and Sport utility vehicles) and 90% accuracy for large vehicles (Buses and Vans) approximately, which can provide a reference for multiple sensor network design and traffic data collection.