Traffic congestion alerting system
Shubhangi M. Deshmukh, Bhairavi N. Savant
Abstract
Shubhangi M. Deshmukh, Bhairavi N. Savant
Abstract
As traffic congestion creates negative impact on society, traffic controlling is the important necessity in transportation. Traffic management requires technology based solutions instead of the manual methods such as human intervention viz. traffic policemen, traffic lights and safety cameras. Traffic jamming cause commuter fails to reach the destination in time. Analyzing the road traffic data is the step taken towards establishment of traffic circumstances on any given road segment. Also existing vehicle does not have the system to alert traffic congestion before we choose road to reach destination. We design smart device embedded in vehicle. Our systems employ the traffic sensing and updating the user to choose the shortest path having less traffic congestion. The proposed system smartly alerts the traffic congestion on the path one has to travel. This system also helps us for fuel level indication.
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As traffic congestion creates negative impact on society, traffic controlling is the important necessity in transportation. Traffic management requires technology based solutions instead of the manual methods such as human intervention viz. traffic policemen, traffic lights and safety cameras. Traffic jamming cause commuter fails to reach the destination in time. Analyzing the road traffic data is the step taken towards establishment of traffic circumstances on any given road segment. Also existing vehicle does not have the system to alert traffic congestion before we choose road to reach destination. We design smart device embedded in vehicle. Our systems employ the traffic sensing and updating the user to choose the shortest path having less traffic congestion. The proposed system smartly alerts the traffic congestion on the path one has to travel. This system also helps us for fuel level indication.
Key concepts: Vehicle Information and Communication System, Floating car data, Traffic congestion, Traffic congestion reconstruction with Kerner's three-phase theory, Computer science, Traffic conflict, Traffic optimization, Traffic bottleneck