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With the successive increase in usage of vehicles, severe traffic congestion is on the rise. This in turn leads to increase in environmental pollution and accidents which ultimately affects the safety, time consumed and money spent of the transport users. The solution to this critical problem is traffic flow prediction depending on which traffic control measures and traffic management can be done...
As traffic demand is growing rapidly, traffic congestion has become a severe problem everywhere in the world. Accurate prediction of traffic flow is therefore essential for the transport users to make smarter and effective decisions like route guidance, mode of transport, time of travel etc. Short term traffic flow prediction has become one of the important research fields in intelligent transportation...
This paper presents a Real Time Monitoring System for Driver Vigilance. The main components of the system consist of a web cam for real - time image acquisition and an alarm system which characterize a Driver's level of vigilance. The three conditions in which the facial expressions of the driver taken are vehicle light, sunlight and noise. The effect of these three conditions is reflected in the...
In recent years, video processing have been widely used in traffic management. Vehicle detection and vehicle classification using neural network (NN), can be achieved by video monitoring systems. In most vehicle detection methods in the literature, only the detection of vehicles in frames of the given video is emphasized. However, further analysis is needed in order to obtain the useful information...
International statistics shows that large numbers of road accidents are caused due to driver fatigue. In this paper the authors tried to detect the fatigue of a person who is working under some stressful conditions like Driving. The principle of the proposed system is based on the facial image analysis for warning the driver of fatigue to prevent traffic accidents. The facial images of the driver...
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