Research on the Development Status of Highway Electronic Toll Collection System

Qinghai Liu

doi:10.54097/fh4nvw34

Authors

Qinghai Liu

DOI:

https://doi.org/10.54097/fh4nvw34

Keywords:

Auditing system; automatic vehicle identification; automatic vehicle typing; Highway Electronic toll collection system.

Abstract

Highway Electronic toll collection system(ETC) is the most important part of intelligent transport system. Research and analysis on the development status of ETC can provide a research basis for its future development. In this paper, three subsystems of the highway Electronic toll collection system (ETC): automatic vehicle identification, automatic vehicle classification, and audit system are studied, and by comparing the research methods of scholars in different periods of time on automatic vehicle identification, automatic vehicle model classification, and audit system, it is found that with the application of new technologies such as big data, edge computing, AI algorithms, and laser radar, the highway Electronic toll collection system (ETC) development level is increasing.

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References

Gao Wenjuan,Tang Bin. Design and Implementation of Highway Electronic Toll Collection System[J]. Science and Technology Information,2008(8):209-210.

Cai Qiang. Research and Design of Electronic Electronic Toll Collection System for ETC Highway[D]. PLA Information Engineering University, 2013.

Chen Leixing. Deep learning video recognition algorithm and system implementation of car models [D]. Nanjing University,2018.

Lei Lv. Research on Image-based Convolutional Neural Network and Deep Learning for Car Model Classification and Recognition Method [D], Nanjing University of Science and Technology, 2020.

Luo Jing. Classification and Attitude Recognition of Target Vehicles [D], Hunan University, 2020.

Wu Yi. Application of electromagnetic automatic vehicle type classification statistics system on highway [J]. Traffic World(Engineering Technology) 2015 (9), 70-71, 69.

Zhao Shifeng,Liu Bailin. Research on the application of acoustic features in automatic classification and recognition of car models. Computer Knowledge and Technology, 2013, 9(35), 8075-8077.

Liu Fang. Research on SVM and CNN model classification recognition method based on vehicle acoustic signal [D], Chongqing Jiaotong University, 2018.

Wang Hanning. Classification System for Vehicle Model Recognition Based on Laser Ranging [D], Tianjin University, 2012.

Xie Pengyuan. Construction and data analysis of highway AI audit system [J]. China Transportation Information Technology, 2022(7), 95-98, 103.

Yang Li, WU Kai, TAO Xiaoming, et al. Design and application of highway AI toll audit system. China Traffic Information Technology, 2023 (7), 86-88, 97.

Fn H. L., Han LiYang. An analysis of ETC gantry data auditing systembased on LiDAR. China Traffic Information Technology, 2024 (1), 91-93, 97.