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Short Term Traffic Flow Prediction Methodologies: A Review

Mody University International Journal of Computing and Engineering Research

Volume 2 Issue 1

Published: 2018
Author(s) Name: Pregya Poonia, V K Jain, Anil Kumar | Author(s) Affiliation: Research Scholar, Dept. CSE, Mody University of Science and Tech., Lakshmangarh, Rajasthan, India.
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Abstract

Successful traffic speed forecasting is an intact component for traffic management agencies. It has great grandness for benefit of road users. Intelligent traffic management system provides time based traffic flow information, so that travellers can reach their destination at an estimated time. In previous few years a series of traffic speed prediction applications have been formulated, in which most of the approaches are relied on short-term speed prediction which includes some traditional models and machine learning techniques. The traffic flow has greatly increased due to the current system and existing methods are still unsatisfying. This composition examined few of the current short-term traffic speed methods.

Keywords: Machine Learning, Speed Prediction Methods, Deep Learning.

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