Abstract: In country like India, billions of people start and end each working day stuck in traffic or commuting on congested trains and buses. By 2025, cities that implement smart mobility systems on average, reduce commuting cycles by 15-20 percent, with some individuals experiencing even greater reductions. Depending on each city's density, current transit facilities, and commuting habits, the capacity associated with each application is highly variable. Slowed synchronization of traffic signals leads to traffic congestion and delays. The pre-programmed, regular signal timing patterns are employed in traditional signal systems. To overcome the problems of traditional traffic control systems, there is a shift in adaption to an Adaptive traffic control system. The ATCS (Adaptive Traffic Control System) is a traffic management technique that modifies or adapts the timing of traffic signals based on the real demand for traffic and achieved using a control system that includes both hardware and software, where hardware is the sensor used for real-time traffic density estimation and software is designed using captured data analysis of the city's current traffic flow. This paper depicts a model of camera-based traffic monitoring and processing system which reduces the cycle time and possesses special provisions for emergency vehicles.
Keywords: Traffic monitoring, Traffic congestion detection, Adaptive traffic control system, Intelligent Transportation System, OpenCV, Image Processing, Traffic Management System.
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DOI:
10.17148/IJARCCE.2021.10340
