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IJSTR >> Volume 8 - Issue 8, August 2019 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Application Of Viterbi Algorithm For Efficient Transportation Forecasting

[Full Text]

 

AUTHOR(S)

Manas Kumar Yogi, Koondrapu Koushik Sri Sai, Afreen Jaha

 

KEYWORDS

Transportation forecasting, Viterbi algorithm, Hidden Markov Model, Prediction.

 

ABSTRACT

This paper discusses a novel application of probabilistic models which can uncover a hidden sequence of states thereby helping us predict the transportation needs during time where people will travel in huge numbers. We advocate the application of Viterbi algorithm for serving our purpose. The Viterbi algorithm has been already applied in various domains with remarkable efficiency forcing us to think about its role in supporting development of robust prediction models for railway transport. Our paper enlightens the strength of Viterbi algorithm and how its efficiency is comparable to other prediction models which considers the standard factors only limiting their conclusive prediction power. The experimental results prove that our proposed strategy improves prediction accuracy significantly than other forecasting models.

 

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