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Determining Desired Speeds from Vehicle Trajectory Data

Baumann, Marvin V. 1; Weyland, Claude M. 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 because of 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, is applied to a trajectory dataset recorded on a German freeway. With 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 probably because the trajectory-based approach observes each vehicle over a longer distance rather than just at stationary points. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000170746
Veröffentlicht am 16.05.2024
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Verkehrswesen (IFV)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2024
Sprache Englisch
Identifikator ISSN: 0361-1981, 2169-4052
KITopen-ID: 1000170746
Erschienen in Transportation Research Record: Journal of the Transportation Research Board
Verlag SAGE Publications
Vorab online veröffentlicht am 08.05.2024
Nachgewiesen in Scopus
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