Mody University International Journal of Computing and Engineering Research

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Short Term Traffic Flow Prediction Methodologies:A Review


Affiliations
1 Department of Computer Science and Engineering, Mody University of Science and Technology, Lakshmangarh, Rajasthan, India
2 College of Engineering and Technology, Mody University of Science and Technology, Lakshmangarh, Sikar, Rajasthan-332311, India
3 Department of Computer Science and Engineering,Engineering, Mody University of Science and Technology, Lakshmangarh, Sikar, Rajasthan-332311, India
 

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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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Abstract Views: 393

PDF Views: 266




  • Short Term Traffic Flow Prediction Methodologies:A Review

Abstract Views: 393  |  PDF Views: 266

Authors

Pregya Poonia
Department of Computer Science and Engineering, Mody University of Science and Technology, Lakshmangarh, Rajasthan, India
V. K. Jain
College of Engineering and Technology, Mody University of Science and Technology, Lakshmangarh, Sikar, Rajasthan-332311, India
Anil Kumar
Department of Computer Science and Engineering,Engineering, Mody University of Science and Technology, Lakshmangarh, Sikar, Rajasthan-332311, India

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.

References