Smart Traffic System-based on Object Detection using Machine Learning

Abstract

Most of the traffic system is manually operated and hence prone to human error. Malfunctioning at traffic management leads to rule violation so either violation or the malfunctioning of traffic lights should not happen. Operating a better road network for free traffic flow has a direct impact on the productivity of the economy. The policy of congestion detection plays a vital role in this project. The adaptive control technique is reducing the waiting time. Geospatial traffic guidance for emergency vehicles is included in this project. Routing is implemented so that ambulances waiting with critical patients with heavy traffic need not worry about waiting and stopping at every traffic signal. With this, a smart traffic system is created which helps in making road transportation easier, convenient, faster, and efficient.