Abstract
To overcome the drawbacks of the maximum speed limit information of expressways (i.e., long update cycle and great complexity of information recognition), in this work, an Electronic Toll Collection (ETC) gantry data-based method for dynamically identifying the maximum speed limit information of expressways is proposed. Firstly, the characteristics of the ETC gantry data are analyzed, and then data are cleaned and reconstructed, after which an algorithm is proposed for constructing a vehicle travel speed data set. Secondly, the speed feature vector model of the road section is established by taking the relationship among the speed distribution feature, time domain feature, and the maximum speed limit of the road section into consideration. Then, a data supplement algorithm is constructed to solve the problem of the imbalance of data samples. Finally, the combined GC-XGBoost classification algorithm is used to train and learn the potential speed limit features, and it is verified through the Fujian Provincial Expressway ETC data and the speed limit information provided by the Fujian Traffic Police. The result shows that the accuracy of the method in the recognition of the maximum limited speed information of the expressway is 97.5%. Compared with the traditional limited speed information recognition and extraction methods, the proposed approach can identify the maximum limited speed information of each section of the expressway more efficiently. It can also accurately identify the dynamic change of the maximum limited speed information, which is able to provide data support for intelligent expressway management systems and map providers.
Highlights
In recent years, China’s expressway Electronic Toll Collection (ETC) system technology has been developed rapidly
In view of the high cost of speed limit sign recognition and the shortcomings of trajectory data recognition, this study proposes a method using real-time traffic data collected by an ETC gantry system to identify the maximum speed limit of expressways dynamically, which solves the problems of the high cost of manual information collection and incomplete vehicle data
ETC gantry system is one of the main components of the Expressway ETC System, which is used for real-time vehicle driving information supervision and record, vehicle path identification, toll data fitting, and other functions [14]. e experimental data mainly includes three categories
Summary
China’s expressway ETC system technology has been developed rapidly. The method of collecting speed limit identification information is mainly manually collected, the data is uploaded to the system for updating within a certain period This method has two disadvantages: first, it requires professionals to travel to the expressway and collect speed limit information, which costs immense manpower and material resources. Erefore, the study of how to automatically collect the speed limit information and dynamically identify the maximum speed limit information on the road in real-time has research significance. In view of the high cost of speed limit sign recognition and the shortcomings of trajectory data recognition, this study proposes a method using real-time traffic data collected by an ETC gantry system to identify the maximum speed limit of expressways dynamically, which solves the problems of the high cost of manual information collection and incomplete vehicle data.
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