| Modeling Intersection Driving Behaviors: A Hidden Markov Model Approach (I) (2009) | |||||||||||||
Abstract | |||||||||||||
| Driving behaviors at intersection are complex because drivers have to perceive more traffic events than normal road driving and thus are exposed to more errors with safety consequences. Drivers make real-time responses in a stochastic manner. This paper presents our study of using Hidden Markov Models to model driving behaviors at intersections. Observed vehicle movement data are used to build up the model. A single HMM is used to cluster the vehicle movements when they are close to intersection. The re-estimated clustered HMMs provide better prediction of the vehicle movements compared to traditional car-following models. Only through-going vehicles on major roads are considered in this paper. 1 | |||||||||||||
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