A Hybrid AI–ML Approach for Smart Traffic Regulation and Automated Parking Detection

Congestion, poor parking, and excessive use of fuel have become serious issues that have emerged due to the high pace of urban traffic buildup. Traffic Spacing and Management System Parking Space Detection is another solution to these problems, and it will be developed based on smart sensing and communication technology. This system checks on the motion of vehicles, controls the movement of traffic and identifies parking spaces available in real time. The system gathers data on the traffic using a network of sensors and microcontrollers and sends it to a central controller that controls the timing of the signals and maintains traffic flow. Moreover, the parking sensors are installed to detect empty spots and notify the drivers via a mobile app or a display board, which saves on time wastage in finding a parking space. The suggested system enhances the safety of the road, decreases the congestion, and uses the urban parking spaces better. This project is an effective and sustainable solution to the transportation management of cities today as it combines the IoT technology, wireless communication, and intelligent traffic control.