Accident and Traffic Prediction and Management Methods for Smart City: an Overview

Nowadays, in many developing countries, the surge in urbanization and vehicle congestion has led to a rise in traffic density and city accidents. This research aims to explore and compare various advanced traffic detection methods, accident prediction in smart cities using image processing, deep learning algorithms, and Internet of Things (IoT) technologies. These technologies include infrared sensors and video image processors installed on roads, and accident prediction systems. The goal is to alleviate traffic congestion, enhance vehicle flow, and decrease accidents. The study concludes with a comparison of the reviewed algorithms’ accuracy and speed in traffic detection and accident prediction.

Keywords:

Traffic detection , Accident prediction , Deep learning , Image processing , Smart city , Internet of Things