Data Collection Based on Global Positioning System for Travel Time and Delay for Arterial Roadway Network
This paper proposes a Global Positioning System (GPS) based method for collecting historical travel time data, including link travel time and intersection signal delay information, for an arterial roadway network. A posttrip map-matching algorithm is introduced to project GPS data onto an existing arterial roadway network. A model is formulated by analyzing the three critical factors—minimum distance, direction similarity, and speed comparison error—in the map-matching decision to detect the critical points needed to obtain the intersection delay information. Two GPS data sets with different GPS accuracy—from Shanghai, China, and Aachen, Germany—are used in the study to calibrate and verify the posttrip map-matching algorithm. Then, through the model proposed, travel time and intersection delay information is extracted from the GPS data sets. By a comparison with results from electronic distance-measuring instrument data, the results of the experiment are shown to be satisfactory and compelling.
- Record URL:
-
- Summary URL:
-
Availability:
- Find a library where document is available. Order URL: http://www.trb.org/Main/Public/Blurbs/159707.aspx
-
Authors:
- Pan, Changxuan
- Lu, Jiangang
- Wang, Dawei
- Ran, Bin
- Publication Date: 2007
Language
- English
Media Info
- Media Type: Print
- Features: Figures; References; Tables;
- Pagination: pp 35-43
- Monograph Title: Information Technology, Geographic Information Systems, and Artificial Intelligence
-
Serial:
- Transportation Research Record: Journal of the Transportation Research Board
- Issue Number: 2024
- Publisher: Transportation Research Board
- ISSN: 0361-1981
Subject/Index Terms
- TRT Terms: Arterial highways; Data collection; Data files; Global Positioning System; Traffic data; Traffic delays; Travel time
- Uncontrolled Terms: Map matching
- Geographic Terms: Aachen (Germany); Shanghai (China)
- Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01043563
- Record Type: Publication
- ISBN: 9780309104517
- Files: TRIS, TRB, ATRI
- Created Date: Feb 8 2007 6:01PM