Hybrid Sensor-based traffic monitoring and managing urban areas in hyderabad city

Traffic control and management is an important factor in related with development of urban. A smart city comprises of smart health care, smart environment, smart home and smart road transportation system. For all these modernizations both artificial intelligence (AI) and machine learning (ML) take major parts in smart operation. By using hybrid sensors, the traffic light systems can be triggered depending on the measured volume of traffic, including temporary deactivation of the traffic lights when roads are quiet. The traffic data collected with the hybrid technology is then used to analyse and control traffic volumes. The radar technology for traffic monitoring applications include traffic light controls, speed enforcement, traffic monitoring and traffic classification. Therefore, this proposal suggests exploring design and prototype model and utilize the model for appropriate road traffic monitoring and management system. The objectives of the proposed system are to reduce traffic congestion, to count traffic flow, to classify the traffic, to provide green environment by reducing air-pollution generated by vehicles, to provide safety for stakeholders (pedestrians and driver and passengers) and to forecast traffic flow.