Abstract
Over speeding of vehicles is the major cause of accidents in recent times. Monitoring of such over speeding vehicles especially on highways is of prime importance. Many manual methods are being used to detect the over speeding vehicles by traffic control team. However, these methods require lot of man power and continuous monitoring by traffic personnel. In this study, an attempt is made to develop an automatic speed monitoring system, which provides a simple way to monitoring speeds of all the vehicles from a centralized control room. This system calculates the instantaneous speed of vehicle with help of sensors and the over speeding vehicle is detected using an image processing technique using Python programming language. The developed model is validated with real world traffic data and comparative analysis of speeds obtained by manual method and developed model shows that model truly represents the field condition.
Highlights
In developing nations such as India, the vehicular growth rate is increasing exponentially which is worsening the traffic operations
The main cause for traffic congestion in such cities is mainly due to uncontrolled urbanization and extensive usage of private vehicles
The traffic congestion leads to many problems like increase in travelling time, health disorders and accidents
Summary
In developing nations such as India, the vehicular growth rate is increasing exponentially which is worsening the traffic operations. Most of the urban cities in India are facing traffic related problems such as congestion, accidents, pollution, etc. The main cause for traffic congestion in such cities is mainly due to uncontrolled urbanization and extensive usage of private vehicles. Road accidents in India claimed over 1.5 lakh lives in the country in the year 2018, with over-speeding of vehicles being the major cause. Indian Government increased the over speed fine by amending of the Motor Vehicles Act. over speeding is the main cause for accidents in India. In densely populated nations such as India, the vehicular growth is at a faster rate and monitoring speeds of all the vehicles is a complex task for traffic authorities. A prototype model is developed to detect the speed and type of over speeding vehicle and the developed model is thoroughly validated using real world traffic data
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