随着社会和经济的发展，机动车的数量逐年递增。因此，交通事故和堵车现象越

With the development of society and economy, the number of motor vehicles is increasing year by year. Therefore, traffic accidents and traffic jams are becoming more and more serious. The problem of urban road congestion is solved by formulating short- and long-term plans and implementing strategic plans. Among the numerous solutions to alleviate vehicle congestion, it is considered to be a more efficient method to solve the congestion problem with the assistance of intelligent transportation. Travel time is an important element in an intelligent transportation system. This indicator can directly provide road managers and users with intuitive traffic information. Travel time is widely used in route guidance, travel information services, traffic demand management, road performance evaluation, etc. Currently, there are still problems with the real-time and accuracy of travel time predictions. Especially when there are many vehicles, there will be many interference factors in the traffic management process. Therefore, the travel time fluctuates greatly. The stability of travel time is mainly affected by the relationship between supply and demand and signal control. This paper studies the travel time of urban road sections by analyzing the data of license plate recognition.

With the development of society and economy, the number of motor vehicles is increasing year by year. As a result, traffic accidents and traffic jams are becoming more and more serious. Congestion on urban roads is addressed through short- and long-term planning and the implementation of strategic plans. Among the many solutions to vehicle congestion, it is considered more efficient to solve the problem of congestion with the help of intelligent traffic. Travel time is an important element in intelligent traffic system, which can provide road managers and users with intuitive traffic information directly. Travel time is widely used in route induction, travel information services, traffic demand management, road performance evaluation and so on. Currently, there are still problems with the real-time and accuracy of travel time predictions. Especially when there are many vehicles, there will be many interference factors in the traffic management process. As a result, travel times fluctuate greatly. The stability of travel time is mainly influenced by the relationship between supply and demand and signal control. This paper studies the travel time of urban roads by analyzing license plate recognition data.

With the development of society and economy, the number of motor vehicles is increasing year by year. Therefore, traffic accidents and traffic jams are becoming more and more serious. The problem of urban road congestion is solved by making short-term and long-term plans and implementing strategic plans. In many solutions to alleviate vehicle congestion, it is considered to be a more efficient way to solve the congestion problem through the assistance of intelligent transportation. Travel time is an important factor in intelligent transportation system, which can directly provide intuitive traffic information for road managers and users. Travel time is widely used in route guidance, travel information service, traffic demand management, road performance evaluation, etc. At present, there are still problems in the real-time and accuracy of travel time prediction. Especially when there are many vehicles, there will be many interference factors in the process of traffic management. Therefore, the travel time fluctuates greatly. The stability of travel time is mainly affected by the relationship between supply and demand and signal control. In this paper, through the analysis of license plate recognition data, the travel time of urban road section is studied.<br>