An Automatic Extraction Method of Coach Operation Information from Historical Trajectory Data
Joint Authors
Li, Jun
Li, Qingqi
Zhu, Yan
Ma, Yan
Xu, Yubin
Xie, Chao
Source
Journal of Advanced Transportation
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-02-11
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Quality of travel service for road transport relies heavily on richness of transport operation data.
Currently, most types of data including coach operation data are collected by manual investigation which is time-consuming and labor-intensive, and this significantly hinders the realization of intelligent traffic information service.
In view of the above problems, this paper is aimed at introducing a method of automatically extracting coach operation information using historical GPS trajectory data of massive coaches.
The method first analyzes trajectory characteristics of coaches within stations and identifies the highly dense point clusters as coach stations using the DBSCAN clustering algorithm.
Then the schedule information is obtained by conducting error adjustment on the actual arrival and departure time series of multiple shifts, and the name of coach station is queried from point of interest (POI) and geographical name database provided by online map.
Finally, the regular driving route of coaches is extracted by an incremental trajectory merging method.
The proposed method is applied in handling historical trajectory data in the Beijing-Tianjin-Hebei region in China, and experimental results show that the extraction accuracy is 84% and verify its effectiveness and feasibility.
The proposed method makes use of data mining techniques to extract coach operation information from big trajectory data and saves a lot of labor work, time, and economic cost required by on-site investigation.
American Psychological Association (APA)
Li, Jun& Li, Qingqi& Zhu, Yan& Ma, Yan& Xu, Yubin& Xie, Chao. 2019. An Automatic Extraction Method of Coach Operation Information from Historical Trajectory Data. Journal of Advanced Transportation،Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1169773
Modern Language Association (MLA)
Li, Jun…[et al.]. An Automatic Extraction Method of Coach Operation Information from Historical Trajectory Data. Journal of Advanced Transportation No. 2019 (2019), pp.1-15.
https://search.emarefa.net/detail/BIM-1169773
American Medical Association (AMA)
Li, Jun& Li, Qingqi& Zhu, Yan& Ma, Yan& Xu, Yubin& Xie, Chao. An Automatic Extraction Method of Coach Operation Information from Historical Trajectory Data. Journal of Advanced Transportation. 2019. Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1169773
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1169773