Abstract
VANET system is a trending research area now days. Accident avoidance and congestion control are very big task in VANET System. In this paper we have performed initially prediction forecasting and measurement is done by GPS and the accurate estimation through Kalman filter. We have observed and predicted the position and velocity of vehicle using Kalman filter and also calculated its different parameter with the help of Kalman filter. Different vehicle velocities (slow, medium and high) have been considered as an important parameter affecting the accuracy of estimation. The application of Kalman filter in estimating the vehicle parameters in highways has been successfully demonstrated.
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This manuscript is dedicated to COMPSE 2016 International Conference on Computer Science and Engineering, Gold Sands Resort, Nov 2016, Penang, Malaysia.
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Tomar, R.S., Sharma, M.S.P. (2018). One Dimensional Vehicle Tracking Analysis in Vehicular Ad hoc Networks. In: Zelinka, I., Vasant, P., Duy, V., Dao, T. (eds) Innovative Computing, Optimization and Its Applications. Studies in Computational Intelligence, vol 741. Springer, Cham. https://doi.org/10.1007/978-3-319-66984-7_15
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DOI: https://doi.org/10.1007/978-3-319-66984-7_15
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