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author:

Chen, HaoBin (Chen, HaoBin.) [1] | Zou, FuMin (Zou, FuMin.) [2] | Guo, Feng (Guo, Feng.) [3] | Gu, Qing (Gu, Qing.) [4] | Yu, Xiang (Yu, Xiang.) [5] | Luo, YongYu (Luo, YongYu.) [6] | Xu, JiaMin (Xu, JiaMin.) [7]

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EI

Abstract:

Since the cancellation of the provincial toll station, many electronic toll collection equipment (ETC) have been laid on expressways across the country. At present, the national road network has been realized. It has become an urgent problem that how to quickly grasp the information of equipment operation status, software parameter status, data transmission status, vehicle traffic status and so on, and accurately find the equipment fault or abnormal road traffic status in time, to effectively improve the operation quality and traffic efficiency of highway network. To achieve this goal, we need to accurately locate the current position of the gantry. At present Because the Construction problems or Human error. the location information of ETC gantries have been mistaken or missed. This paper innovatively uses the track data of the special transportation vehicles and ETC transaction data to verify the accurate position of the gantry. Firstly, the average speed and travel time of the sub road network between toll stations are calculated. According to the average speed and travel time, the distance to each section of the road network is calculated. By comparing the calculated distance with the real distance, the rationality of the gantry node position is calculated; The real position of the gantry can be obtained through the direction angle algorithm, to correct the position of the gantry. In this paper, four expressways in Fujian Province are selected for experiments, ETC trade data and Trajectory data of special transportation vehicles are from Fujian Expressway Group Co., Ltd. The experimental results show that the traffic flow has no effect on the results of the algorithm. In the appropriate scene, the accuracy of the algorithm can reach more than 70%. The experimental results verify the feasibility and effectiveness of the model. © 2021 ACM.

Keyword:

Intelligent systems Motor transportation Roads and streets Road vehicles Toll highways Traffic control Travel time Vehicle transmissions

Community:

  • [ 1 ] [Chen, HaoBin]Fujian University of Technology, China
  • [ 2 ] [Zou, FuMin]Fujian University of Technology, China
  • [ 3 ] [Guo, Feng]FuZhou University, China
  • [ 4 ] [Gu, Qing]Fujian Provincial Expressway Information Technology Co. Ltd., China
  • [ 5 ] [Yu, Xiang]Fujian University of Technology, China
  • [ 6 ] [Luo, YongYu]Fujian University of Technology, China
  • [ 7 ] [Xu, JiaMin]Fujian University of Technology, China

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Year: 2021

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 0

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