Data collection based on Global Positioning System for travel time and delay for arterial roadway network Pan, Changxuan et al
Series: ; 2024Publication details: Transportation research record, 2007Description: s. 35-43Subject(s): Bibl.nr: VTI P8167:2024Location: Abstract: 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.Current library | Status | |
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Statens väg- och transportforskningsinstitut | Available |
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.