Author
Listed:
- Bernat Goñi Ros
(Department of Transport and Planning Delft University of Technology, Faculty of Civil Engineering and Geosciences)
- Victor L. Knoop
(Department of Transport and Planning Delft University of Technology, Faculty of Civil Engineering and Geosciences)
- Wouter J. Schakel
(Department of Transport and Planning Delft University of Technology, Faculty of Civil Engineering and Geosciences)
- Bart van Arem
(Department of Transport and Planning Delft University of Technology, Faculty of Civil Engineering and Geosciences)
- Serge P. Hoogendoorn
(Department of Transport and Planning Delft University of Technology, Faculty of Civil Engineering and Geosciences)
Abstract
Sags are bottlenecks in freeway networks. The main reason is that the increase in slope has a negative effect on vehicle acceleration, which results in local changes in car-following behavior that reduce traffic flow capacity. Existing car-following models are not able to reproduce the acceleration behavior of drivers at sags and the resulting traffic flow dynamics in a sufficiently realistic way. This paper presents a new car-following model that aims to fill that gap. The model assumes that drivers have a limited ability to compensate for the negative effect that an increase in gradient has on vehicle acceleration. Compensation is assumed to be linear over time; the maximum compensation rate is defined as a parameter. The paper presents the results of a case study using the proposed car-following model. The study site is a particular sag in Japan. Similar traffic flow patterns are observed in simulation and in empirical data from that site. In particular, the model generates a bottleneck caused by the increase in freeway slope, reproducing its location very accurately.
Suggested Citation
Bernat Goñi Ros & Victor L. Knoop & Wouter J. Schakel & Bart van Arem & Serge P. Hoogendoorn, 2015.
"A Model of Car-Following Behavior at Sags,"
Springer Books, in: Mohcine Chraibi & Maik Boltes & Andreas Schadschneider & Armin Seyfried (ed.), Traffic and Granular Flow '13, edition 127, pages 385-393,
Springer.
Handle:
RePEc:spr:sprchp:978-3-319-10629-8_44
DOI: 10.1007/978-3-319-10629-8_44
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