Driving behaviour at motorway ramps and weaving segments based on empirical trajectory data

Journal Article (2018)
Author(s)

A.S. Van Beinum (TU Delft - Transport and Planning)

H. Farah (TU Delft - Transport and Planning)

FCM Wegman (TU Delft - Transport and Planning)

Serge Hoogendoorn (TU Delft - Transport and Planning)

Transport and Planning
Copyright
© 2018 A.S. van Beinum, H. Farah, F.C.M. Wegman, S.P. Hoogendoorn
DOI related publication
https://doi.org/10.1016/j.trc.2018.05.018
More Info
expand_more
Publication Year
2018
Language
English
Copyright
© 2018 A.S. van Beinum, H. Farah, F.C.M. Wegman, S.P. Hoogendoorn
Transport and Planning
Volume number
92
Pages (from-to)
426-441
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

In the vicinity of ramps, drivers make route choices, change lanes and in most cases also adjust their speeds. This can trigger anticipatory behaviour by the surrounding vehicles, which are also reflected in lane changes and/or changes in speed. This phenomenon is called turbulence and is widely recognised by the scientific literature and various design guidelines. However the knowledge about the characteristics of turbulence is limited. This study investigates the microscopic characteristics of driving behaviour around 14 different on-ramps (3), off-ramps (3) and weaving segments (8) in The Netherlands, based on unique empirical trajectory data collected from a video camera mounted underneath a hovering helicopter. The data analysis reveals that lane changes caused by merging and diverging vehicles create most turbulence, that an increase in the amount of traffic results in a higher level of turbulence and that an increase in the available length for merging and diverging results in a lower level of turbulence. The results of this study are useful for improving the road design guidelines and for modelling driving behaviour more realistically.

Files