In this paper, we link two research directions of road traffic-the mesoscopic headway distribution model and the microscopic vehicle interaction model-together to account for the empirical headway/spacing distributions. A unified car-following model is proposed to simulate different driving scenarios, including traffic on highways and at intersections. Unlike our previous approaches, the parameters of this model are directly estimated from the Next Generation Simulation (NGSIM) Trajectory Data. In this model, empirical headway/spacing distributions are viewed as the outcomes of stochastic car-following behaviors and the reflections of the unconscious and inaccurate perceptions of space and/or time intervals that people may have. This explanation can be viewed as a natural extension of the well-known psychological car-following model (the action point model). Furthermore, the fast simulation speed of this model will benefit transportation planning and surrogate testing of traffic signals.
A Markov Model for Headway/Spacing Distribution of Road Traffic
IEEE Transactions on Intelligent Transportation Systems ; 11 , 4 ; 773-785
2010-12-01
1124033 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Engineering Index Backfile | 1918
|Proposed headway distribution for traffic simulation studies
Engineering Index Backfile | 1963
|Automatic Headway Control - An Automatic Vehicle Spacing System
SAE Technical Papers | 1970
|