Vehicle lassification algorithm based on wireless sensor networks

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Journal of Nanjing University(Natural Sciences) ›› 2013, Vol. 49 ›› Issue (5) : 655-663.

Liu Qun1, Gu Jin1, Zhang Zu-Sheng2

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Abstract

the low accuracy of the current vehicle classifying algorithms, this paper presents a vehicle classification algorithm based on the existed vehicle detecting algorithm, which classifies the vehicles roughly by a decision tree firstly and then decides the types of the vehicles exactly using the KNN algorithm. Proved by some experiments, this algorithm works well and has a good classifying performance. Moreover, in order to test and verify the feasibility of this algorithm, this paper sets up a PMS (Parking Management System) which includes the design and implementation of the hardware and software of end devices, routes, base station, the ZigBee protocol stack, the network structure and the whole monitoring software of the server. By analyzing and classifying the PMS data, which are collected from the system run for several months, the proposed algorithm gets higher vehicle classifying accuracy than the existing methods(.

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Liu Qun1, Gu Jin1, Zhang Zu-Sheng2. Vehicle lassification algorithm based on wireless sensor networks[J]. Journal of Nanjing University(Natural Sciences), 2013, 49(5): 655-663

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