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Modeling Pipeline Driving Behaviors: Hidden Markov Model Approach
2006
Transportation Research Record
Driving behaviors at intersections are complex. At intersections, drivers face more traffic events than elsewhere and are thus exposed to more potential errors with safety consequences. Drivers make real-time responses in a stochastic manner. This study used hidden Markov models (HMMs) to model the driving behavior of through-going vehicles on major roads at intersections. Observed vehicle movement data were used to estimate the model. A single HMM was used to cluster movements when vehicles
doi:10.3141/1980-05
fatcat:xmilz4wpzfhztj2sdqwformtze