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

fYear

2011

fDate

5-7 Aug. 2011

Firstpage

460

Lastpage

464

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICDMA.2011.119

Filename

6051952