The Method of Dynamic Identification of the Maximum Speed Limit of Expressway Based on Electronic Toll Collection Data

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.

A Decentralized ETC Architecture Based on Blockchain Technology

Electronic toll collection (ETC) has been widely spread in China, providing efficient, comfortable, and convenient toll services. However, the nature of centralization of those ETC systems has incurred serious security threatens. Given blockchain’s features of self-trust, decentralized architecture, and traceability, we propose a decentralized ETC architecture based on blockchain technology. After implementing our architecture in a test network, we verify its feasibility. A thorough discussion indicates that our architecture can effectively operate normal ETC services while avoiding most attacks that threaten traditional ETC systems. The proposed architecture provides a brand new way of conventional ETC system optimization.