Publication | Open Access
Smart traffic control with ambulance detection
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0
References
2018
Year
Automotive TrackingEngineeringTraffic CongestionIntelligent SystemsIntelligent Traffic ManagementImage AnalysisPattern RecognitionTransportation EngineeringImage ProcessingMachine VisionComputer ScienceTraffic EngineeringTraffic MonitoringUrban Traffic CongestionComputer VisionAutomationRoad Traffic ControlSmart Traffic ControlEmergency Medicine
The problem of urban traffic congestion is constantly spreading. The increase in traffic is due to the growing number of vehicles and the limited expansion of roads. We propose a system for reducing traffic congestion using image processing by detecting blobs and tracking them. The system will detect vehicles through images instead of using electronic sensors embedded in the pavement. We also plan to provide a suitable solution for emergency vehicles stuck in traffic to clear the route by using Bluetooth, thus assuring timely help to those in need.