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Paper Details
Paper Title
EXTENDED KALMAN FILTER APPROACH FOR REDUCING TRAFFIC CONGESTION IN VANET
Authors
ISHU
Abstract
Traffic Congestion in VANET is widely researched problem in recent times. Many new techniques have been proposed in recent years and are implemented and compared with the existing techniques. In previous approach Kalman Filter algorithm is used to find the optimum route from source to the destination. This approach is well formed with the linear research problems. The problem involving in this case is a non linear problem so an extension to the Kalman Filter is used. Extended Kalman Filter considers the acceleration as a function of distance and and two previous instances are required for the same. Results shows that the proposed approach outperforms the existing approach on the basis of various performance parameters like packet delivery ratio and end to end delay. In future other Bayesian approaches must be used for solving the traffic congestion problem.
Keywords- Extended Kalman Approach, VANET
Publication Details
Unique Identification Number - IJEDR1702034Page Number(s) - 204-210Pubished in - Volume 5 | Issue 2 | April 2017DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
ISHU, "EXTENDED KALMAN FILTER APPROACH FOR REDUCING TRAFFIC CONGESTION IN VANET", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 2, pp.204-210, April 2017, Available at :http://www.ijedr.org/papers/IJEDR1702034.pdf
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