In recent years, the rapid growth of urban population and the increased ownership of private vehicles have led to significant challenges in managing traffic congestion, a pervasive problem in many metropolitan areas around the world. Traffic congestion has become a ubiquitous problem in urban centers across the globe, posing significant challenges to commuters, city planners, and transportation authorities. This research paper aims to delve into the primary factors contributing to this persistent issue, drawing insights from various academic sources. This paper presents Highway Traffic Congestion detection and evaluation based on deep learning technique. The results show the effectiveness of the proposed method.