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Determining Desired Speeds from Vehicle Trajectory Data

Baumann, Marvin V. 1; Weyland, Claude Marie Laure ORCID iD icon 1; Ellmers, Jan 1; Fuchs, Lea 1; Grau, Josephine ORCID iD icon 1; Vortisch, Peter 1
1 Institut für Verkehrswesen (IFV), Karlsruher Institut für Technologie (KIT)

Abstract:

Desired speed or free speed distributions are important input parameters for microscopic traffic flow simulations. Whereas driven speeds can be measured, desired speeds are not detectable for all vehicles due to vehicles constraining each other. An established approach to estimating desired speed distributions is the modified Kaplan-Meier approach, which estimates desired speed distributions based on single vehicle data from stationary detectors. We propose a novel approach to determine desired speeds based on vehicle trajectory data. The proposed approach, as well as the modified Kaplan-Meier approach, are applied to a trajectory dataset recorded on a German freeway.
Regarding the modified Kaplan-Meier approach, we observed that the resulting desired speed distributions vary by approximately 5 km/h depending on the position of the stationary detectors. The desired speed distributions obtained from the trajectory-based approach are approximately 5 to 10 km/h higher than those estimated by the modified Kaplan-Meier approach. This difference in results is likely due to the fact that the trajectory-based approach observes each vehicle over a longer distance rather than just at stationary points. ... mehr


Zugehörige Institution(en) am KIT Institut für Verkehrswesen (IFV)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2024
Sprache Englisch
Identifikator KITopen-ID: 1000167635
Erschienen in 103rd Transportation Research Board Annual Meeting, Washington D.C., 7th-11th January 2024
Veranstaltung 103rd Annual Meeting Transportation Research Board (TRB 2024), Washington, DC, USA, 07.01.2024 – 11.01.2024
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