Title :
Driving Intentions Identification Based on Continuous P-2D HMM
Author :
Yun, Liu ; Hou, Zhixiang ; Yu, Dan
Author_Institution :
Hunan Vocational Coll. Of Sci. & Technol., China
Abstract :
The improved P-2D HMM is introduced to the driving intentions identification, and the driving intentions identification model based on continuous P-2D HMM was estabLished to identify the driving intention. The vehicle space, speed and lateral acceleration were as inputs, the driving intentions as output. Predict the driving behavior at next period to further enhance active safety. This paper choice the two driving intentions, the speed up or keeping speed and lane-changing or keeping lane, as the two-dimensional of the C-P2D-HMM hidden state, and separately identify of driving intention. Model vaLidation results show that the model can identify driving intentions accurate at the given conditions.
Keywords :
behavioural sciences; hidden Markov models; road safety; road traffic; road vehicles; C-P2D-HMM hidden state; active safety; continuous P-2D HMM; driving behavior; driving intentions identification model; model validation results; vehicle lateral acceleration; vehicle space; vehicle speed; Data models; Educational institutions; Hidden Markov models; Markov processes; Probability distribution; Safety; Vehicles; Driving Intentions Identification; P-2D HMM model; mixture Gaussian density function;
Conference_Titel :
Digital Manufacturing and Automation (ICDMA), 2011 Second International Conference on
Conference_Location :
Zhangjiajie, Hunan
Print_ISBN :
978-1-4577-0755-1
Electronic_ISBN :
978-0-7695-4455-7
DOI :
10.1109/ICDMA.2011.119
