| Abstract |
To fulfil the Government of India's vision of 100% e-mobility by 2030, all the vehicles should be replaced by e-vehicles. Adoption of EVs under 'Make in India' programme promote indigenous manufacture of electric vehicles and create a roaring market for auxiliary services. Collection of traffic data about E-vehicle in the city is utmost required for well organised traffic management, implementation of smart City, extension of essential services such as use of bus lanes, reservation of parking centres in cities, given concession at toll zones and traffic junctions. To control air pollution caused by conventional vehicle and for sustainable development, promotion of electric vehicle is required at national and international levels. Advanced technologies and awareness on pollution control have given E-vehicle a tag to rapid progress in future mobility. Implementation of Intelligent Transport Systems (ITS) is essential to monitor and get correct data of traffic in real time basis for traffic management, planning and conveyance safety [1]. So, in that situation which is very necessary in future to identify both electric vehicles and combustion vehicles. Keeping that aim in mind we need to detect which vehicle is electric vehicle and which vehicle is combustion vehicle. For that purposes different techniques are currently in use. The aim of this paper is to discuss different techniques/methods available currently to detect electric and combustion vehicles (EVs) and their comparative study to find the superior method of detection. © 2021 IEEE. |
