Traffic Control Management using Image Processing and Networking
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Abstract
Due to major advancements in technology and rapid economic development, the number of cars on the roads has increased immensely, causing large traffic congestion and accidents, especially during business hours. This has increased the susceptibility to traffic delays but also causes noise and air pollution. This raises health concerns over the toxic fumes produced during combustion. The major contributor to this issue is the conventional time-based traffic control system which doesn’t consider real-time traffic scenarios. This calls for the need for a smart traffic management system that collects live traffic information to modify traffic flow, avoiding traffic congestions and accidents while also reducing the amount of idle time for car engines on traffic junctions resulting in lower noise and air pollution. This data includes information about the upcoming traffic that allows for informed traffic control
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