Travel Time Characteristics of Vehicles on Urban Arterial Roads Analysis Based on License Plate Data

Abstract

In this era of motorization, cities are expanding rapidly, the urban population has risen dramatically, and more and more motor vehicles run on the roads. The problem of urban transportation exacerbates. Intelligent transportation technology (ITS) is regarded as one of the best methods to solve the problem of urban traffic. A large number of traffic monitoring equipment has been widely used as intelligent transportation systems develop. With the large number of traffic monitoring systems that have been built, traffic managers can collect abundant operational data from the ITS systems. Mining and making good use of these data becomes more and more important. License plate recognition (LPR) systems are an important component of the intelligent transportation system. In the past, the license plate recognition system has been used in analysis of traffic violations and the tolling system. The data mining of the license plate recognition system has rarely been applied. The dissertation researches the theories and methods of how to analyze the time characteristics of urban vehicles based on license plate recognition data. With the help of real-time data obtained from license plate recognition technology on an urban arterial road, the get the motor vehicle travel characteristics of vehicles. In this paper, the authors did empirical research by using license plate data in Shenzhen. Time clustering method has been used to separate the vehicle travel behavior. By analyzing the trip frequency of the vehicles during the working day, researchers can extract the rigid vehicles and get travel time characteristics of vehicles on urban arterial road.