An Automatic Emergency Braking Model considering Driver’s Intention Recognition of the Front Vehicle
المؤلفون المشاركون
Yang, Wei
Liu, Jiajun
Zhou, Kaixia
Zhang, Zhiwei
Qu, Xiaolei
المصدر
Journal of Advanced Transportation
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-12-08
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1175701
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر