A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Assessing the Accuracy of Average Travel Speeds from Floating Car Data on Urban Street Facilities
To improve traffic flow on regularly congested roads in a network, the performance of these roads has to be evaluated. The average travel speed is a crucial indicator of traffic quality and is used in several performance evaluation methods. Floating Car Data (FCD) obtained from vehicles equipped with GPS offers continuous and ubiquitous data acquisition, making it a potential alternative to conventional speed detection methods. However, the limited penetration and representativeness of detected vehicles pose challenges. This work investigates the suitability of commercially available FCD for determining accurate space-mean speeds. Ground truth data was collected using Automatic Number Plate Recognition (ANPR), and a comparison analysis was performed with FCD-derived travel times and space-mean speeds. Different statistical measures were applied to evaluate the accuracy of FCD data. The results indicate a generally acceptable correlation between the two data sources, but deviations occur, especially for time intervals with a low number of detected FCD trajectories. Subsequent analyses suggest that a minimum number of five trajectories per hour are sufficient to derive valid space-mean speeds. Based on these findings, it is possible to accurately assess the performance of roads exclusively using commercially available FCD.
Assessing the Accuracy of Average Travel Speeds from Floating Car Data on Urban Street Facilities
To improve traffic flow on regularly congested roads in a network, the performance of these roads has to be evaluated. The average travel speed is a crucial indicator of traffic quality and is used in several performance evaluation methods. Floating Car Data (FCD) obtained from vehicles equipped with GPS offers continuous and ubiquitous data acquisition, making it a potential alternative to conventional speed detection methods. However, the limited penetration and representativeness of detected vehicles pose challenges. This work investigates the suitability of commercially available FCD for determining accurate space-mean speeds. Ground truth data was collected using Automatic Number Plate Recognition (ANPR), and a comparison analysis was performed with FCD-derived travel times and space-mean speeds. Different statistical measures were applied to evaluate the accuracy of FCD data. The results indicate a generally acceptable correlation between the two data sources, but deviations occur, especially for time intervals with a low number of detected FCD trajectories. Subsequent analyses suggest that a minimum number of five trajectories per hour are sufficient to derive valid space-mean speeds. Based on these findings, it is possible to accurately assess the performance of roads exclusively using commercially available FCD.
Assessing the Accuracy of Average Travel Speeds from Floating Car Data on Urban Street Facilities
Lelke, Torben (author) / Fuchs, Lea (author) / Friedrich, Bernhard (author) / Vortisch, Peter (author)
2024-04-11
Transportation Research Procedia: 25th Euro Working Group on Transportation Meeting, EWGT 2023, Santander, 6th-8th September 2023, 78, 570 – 577 ; ISSN: 2352-1465
Article (Journal)
Electronic Resource
English
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