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Title: Calibrating the Wiedemann 99 Car-Following Model for Bicycle Traffic
Accession Number: 01764294
Record Type: Component
Abstract: Car-following models are used in microscopic simulation tools to calculate the longitudinal acceleration of a vehicle based on the speed and position of a leading vehicle in the same lane. Bicycle traffic is usually included in microscopic traffic simulations by adjusting and calibrating behavior models developed for motor vehicle traffic. However, very little work has been carried out to examine the following behavior of bicyclists, calibrate following models to fit this observed behavior, and determine the validity of these calibrated models. In this paper, microscopic trajectory data collected in a bicycle simulator study are used to estimate the following parameters of the psycho-physical Wiedemann 99 car-following model implemented in PTV Vissim. The Wiedemann 99 model is selected due to the larger number of assessable parameters and the greater possibility to calibrate the model to fit observed behavior. The calibrated model is validated using the average queue dissipation time at a traffic light on facilities ranging in width between 1.5 m to 2.5 m. Results show that the parameter set derived from the microscopic trajectory data creates more realistic simulated bicycle traffic than a suggested parameter set from a previous study. However, it was not possible to achieve the large variation in average queue dissipation times that was observed in the field with either of the tested parameter sets.
Supplemental Notes: This paper was sponsored by TRB committee ACH20 Standing Committee on Bicycle Transportation.
Report/Paper Numbers: TRBAM-21-00040
Language: English
Corporate Authors: Transportation Research BoardAuthors: Kaths, HeatherKeler, AndreasBogenberger, KlausPagination: 13p
Publication Date: 2021
Conference:
Transportation Research Board 100th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Identifier Terms: Subject Areas: Operations and Traffic Management; Pedestrians and Bicyclists; Planning and Forecasting
Source Data: Transportation Research Board Annual Meeting 2021 Paper #TRBAM-21-00040
Files: TRIS, TRB, ATRI
Created Date: Dec 23 2020 11:24AM
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