01043563

Component

https://doi.org/10.3141/2024-05

http://scholar.google.com...+Ran&publication_year=2007

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.

01088321

English

pp 35-43

2007

Transportation Research Record: Journal of the Transportation Research Board

9780309104517

Print

Figures (7) ; References (5) ; Tables (2)

Arterial highways; Data collection; Data files; Global Positioning System; Traffic data; Traffic delays; Travel time

Map matching

Aachen (Germany); Shanghai (China)

Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Feb 8 2007 6:01PM

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