Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
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Abstract
This study describes the design of robust and dynamic intelligent road traffic control system based on Artificial Neural Network method. Learning system has been extensively adopted as approach for real time decision making system. As the conventional dynamic controller were used sensors which are having certain limitations so these limitations can be overcome by vision sensors, i.e., camera. Also, image and vision computing plays a important role in monitoring and measuring the traffic density on road. Problems were identified with the current traffic control system at the intersection on road and it required the development of a new system to solve the problems. The performance of the proposed method is evaluated with Aimsun, JAVA and MATLAB test bed. The results of extensive simulations using the proposed soft computing approach indicate that the system improves the average moving time and decrease the average waiting time.
How to cite this article:
Krishan Arora, Harpreet Singh Bedi and Pardeep Mittal. Soft Computing Based Robust and Dynamic Road Traffic Control System-A Initiative to Development of Intelligent Transportation System (ITS).
DOI: https://doi.org/10.36478/jeasci.2016.210.215
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2016.210.215