Vehicle Detection using Artificial Intelligence based Algorithm in Intelligent Transportation Systems

Intelligent transportation systems (ITS) are the future of inter- and intra-city mobility. ITS has several features, and vehicle detection is a crucial system component. This research paper implements the You Only Look Once (YOLO) algorithm, which is a neural network-based technique for detecting vehicles on roads and streets. The algorithm detects vehicles rapidly and accurately. The YOLO implementation of this study confirms the efficacy of this algorithm, detecting vehicles successfully in various scenarios. Vehicles are detected and displayed separately within boundary boxes. Our implementation of this method is limited to detecting up to five vehicles on a single road or street. The vehicles could be parked or waiting at a traffic signal for it to turn green. Vehicle tracking has increased the effectiveness of the system because it follows the vehicle's path until it disappears from the CCTV image. MATLAB simulations are used to validate the results of this study.