Scipediacontent: Scipediacontent moved page Draft Content 565582977 to 238,295ls

2021-03-22T23:47:22Z

Scipediacontent moved page Draft Content 565582977 to 238,295ls

Scipediacontent: Created page with " == Abstract == 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..."

2021-03-22T23:45:58Z

Created page with " == Abstract == 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..."

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== Abstract ==

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.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_565582977-beopen1330-9919-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.1155/2020/5172305 http://dx.doi.org/10.1155/2020/5172305] under the license https://creativecommons.org/licenses/by/4.0/

* [http://downloads.hindawi.com/journals/jat/2020/5172305.pdf http://downloads.hindawi.com/journals/jat/2020/5172305.pdf],
: [http://downloads.hindawi.com/journals/jat/2020/5172305.xml http://downloads.hindawi.com/journals/jat/2020/5172305.xml],
: [http://dx.doi.org/10.1155/2020/5172305 http://dx.doi.org/10.1155/2020/5172305]

under the license https://creativecommons.org/licenses/by/4.0/

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Scipediacontent: Scipediacontent moved page Draft Content 565582977 to 238,295ls

Scipediacontent: Created page with " == Abstract == 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..."