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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 Board

Authors:

Kaths, Heather
Keler, Andreas
Bogenberger, Klaus

Pagination:

13p

Publication Date:

2021

Conference:

Transportation Research Board 100th Annual Meeting

Location: Washington DC, United States
Date: 2021-1-5 to 2021-1-29
Sponsors: Transportation Research Board; Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

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