• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
成果搜索

author:

Luo, YongYu (Luo, YongYu.) [1] | Zou, FuMin (Zou, FuMin.) [2] | Guo, Feng (Guo, Feng.) [3] | Gu, Qing (Gu, Qing.) [4] | Lin, ZiYang (Lin, ZiYang.) [5] | Lin, YuYuan (Lin, YuYuan.) [6]

Indexed by:

EI

Abstract:

A large number of Electronic Toll Collection(ETC) gantry systems were built after the abolition of provincial border toll stations. In order to ensure the information integrity of ETC gantry equipment, a statistical model of mileage based on trajectory data is proposed to solve the problem of Expressway gantry equipment with missing spatial information and low information accuracy. In view of this, firstly, the section trajectory matrix is obtained by combining the trajectory data of special transportation vehicles and the transaction data of ETC gantry system through data pre-processing and feature construction. Secondly, the section road data is obtained through the GAODE API, and the densification process is performed on the data. Then, a section distance identification model based on section trajectory matrix and road network features is constructed. Finally, the distance-based spatial information extraction algorithm achieves the identification of the target gantry geographic location. Experiment on 119 gantry equipment in Fujian Province, both transaction data and trajectory data are from Fujian Expressway Group Co., Ltd. The extraction results demonstrate that 95% of the gantry coordinate accuracy is within 500 meters. It has practical application value and reference significance to the informationization of Expressway. © 2021 ACM.

Keyword:

Artificial intelligence Data handling Data mining Matrix algebra Roads and streets Toll highways Trajectories

Community:

  • [ 1 ] [Luo, YongYu]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 ] [Lin, ZiYang]Fujian University of Technology, China
  • [ 6 ] [Lin, YuYuan]Fujian University of Technology, China

Reprint 's Address:

Email:

Show more details

Related Keywords:

Related Article:

Source :

Year: 2021

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

Online/Total:115/9988756
Address:FZU Library(No.2 Xuyuan Road, Fuzhou, Fujian, PRC Post Code:350116) Contact Us:0591-22865326
Copyright:FZU Library Technical Support:Beijing Aegean Software Co., Ltd. 闽ICP备05005463号-1