TY - JOUR PY - 2006// TI - Modeling pipeline driving behaviors: hidden Markov model approach JO - Transportation research record A1 - Xi, Z A1 - Levinson, David M. SP - 16 EP - 23 VL - 1980 IS - N2 - 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 were close to the intersection. The reestimated clustered HMMs could more accurately predict vehicle movements compared with traditional car-following models.
LA - en SN - 0361-1981 UR - http://dx.doi.org/ ID - ref1 ER -