An errorable car-following driver model is presented in this paper. An errorable driver model is one that emulates human driver's functions and can generate both nominal (error-free), as well as devious (with error) behaviours. This model was developed for evaluation and design of active safety systems. The car-following data used for developing and validating the model were obtained from a large-scale naturalistic driving database. The stochastic car-following behaviour was first analysed and modelled as a random process. Three error-inducing behaviours were then introduced. First, human perceptual limitation was studied and implemented. Distraction due to non-driving tasks was then identified based on the statistical analysis of the driving data. Finally, time delay of human drivers was estimated through a recursive least-square identification process. By including these three error-inducing behaviours, rear-end collisions with the lead vehicle could occur. The simulated crash rate was found to be similar but somewhat higher than that reported in traffic statistics.
Development of an errorable car-following driver model
Entwicklung eines fehlerbehafteten car-following-Fahrermodells
Vehicle System Dynamics ; 48 , 6 ; 751-773
2010
23 Seiten, 25 Bilder, 2 Tabellen, 49 Quellen
Article (Journal)
English
Development of an errorable car-following driver model
Taylor & Francis Verlag | 2010
|Development of an errorable car-following driver model
Online Contents | 2010
|Development of an errorable car-following driver model
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