An Automatic Emergency Braking Model considering Driver’s Intention Recognition of the Front Vehicle
Joint Authors
Yang, Wei
Liu, Jiajun
Zhou, Kaixia
Zhang, Zhiwei
Qu, Xiaolei
Source
Journal of Advanced Transportation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-08
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Driver’s intention of the front vehicle plays an important role in the automatic emergency braking (AEB) system.
If the front vehicle brakes suddenly, there is potential collision risk for following vehicle.
Therefore, we propose a driver’s intention recognition model for the front vehicle, which is based on the backpropagation (BP) neural network and hidden Markov model (HMM).
The brake pedal, accelerator pedal, and vehicle speed data are used as the input of the proposed BP-HMM model to recognize the driver’s intention, which includes uniform driving, normal braking, and emergency braking.
According to the recognized driver’s intention transmitted by Internet of vehicles, an AEB model for the following vehicle is proposed, which can dynamically change the critical braking distance under different driving conditions to avoid rear-end collision.
In order to verify the performance of the proposed models, we conducted driver’s intention recognition and AEB simulation tests in the cosimulation environment of Simulink and PreScan.
The simulation test results show that the average recognition accuracy of the proposed BP-HMM model was 98%, which was better than that of the BP and HMM models.
In the Car to Car Rear moving (CCRm) and Car to Car Rear braking (CCRb) tests, the minimum relative distance between the following vehicle and the front vehicle was within the range of 1.5 m–2.7 m and 2.63 m–5.28 m, respectively.
The proposed AEB model has better collision avoidance performance than the traditional AEB model and can adapt to individual drivers.
American Psychological Association (APA)
Yang, Wei& Liu, Jiajun& Zhou, Kaixia& Zhang, Zhiwei& Qu, Xiaolei. 2020. An Automatic Emergency Braking Model considering Driver’s Intention Recognition of the Front Vehicle. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1175701
Modern Language Association (MLA)
Yang, Wei…[et al.]. An Automatic Emergency Braking Model considering Driver’s Intention Recognition of the Front Vehicle. Journal of Advanced Transportation No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1175701
American Medical Association (AMA)
Yang, Wei& Liu, Jiajun& Zhou, Kaixia& Zhang, Zhiwei& Qu, Xiaolei. An Automatic Emergency Braking Model considering Driver’s Intention Recognition of the Front Vehicle. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1175701
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175701