Abstract:
Increasing road traffic is a major issue in current
world. In this paper, we propose a set of prediction models
that can perform short term traffic prediction for a given road
segment. These prediction models have been developed using
Neural Networks (NN), Bayesian Networks, Hidden Markov
Models, variations of Regression and ensemble approaches of
these models. CCTV records are used for validation of the results
based on which a maximum accuracy of 85% was achieved.
