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Vehicle Speed Estimation Using Wireless Sensor Network

Authors:
Muhammad Saqib
Sultan Daud Khan
Saleh Mohammad Basalamah

Keywords: SDS-TWR; Kalman filter; Traffic monitoring.

Abstract:
A real time locating system automatically tracks and localizes people and objects. We propose a model for the speed monitoring of vehicles using wireless sensor network-based on real-time localization. Our model is based on symmetric double sided two way ranging algorithm which has the ability to zeros out the effect of clock drifts between transmitter and receiver. In our model two anchor nodes are used as road side units at fixed locations and heights and moving vehicle is equipped with on board unit called a tag. Collected data from tag is used to calculate the speed of the vehicle at the base station. Several experiments are done to evaluate the performance of the proposed model at different sampling intervals of time by moving the vehicle at different speeds. Due to the noisy nature of collected data, discrete Kalman filter is used for better estimation of the speed of the vehicle. We have compared the true values of speed with measured values and estimated values. Experimental results show that the estimated values became close to the true values by applying Kalman filter.

Pages: 98 to 102

Copyright: Copyright (c) IARIA, 2011

Publication date: October 23, 2011

Published in: conference

ISSN: 2308-3484

ISBN: 978-1-61208-161-8

Location: Barcelona, Spain

Dates: from October 23, 2011 to October 29, 2011