@inproceedings{c9c44ba0a86748968b1f16c79ce38020,
title = "A collision warning device based on the emergency braking behavior prediction",
abstract = "Rear-end collisions are the most common type of car accidents. In this paper, the anti-rear-end collision warning device based on emergency braking behavior prediction was designed to reduce the occurrence of rear-end collision. Through analyzing drivers{\textquoteright} braking behaviors in the car-following process, the anti-rear-end collision method based on emergency braking behavior prediction was proposed. The emergency braking model was established based on the change rate of acceleration pedal{\textquoteright}s and clutch pedal{\textquoteright}s displacement. The anti-rear-end collision warning device consisting of the sensors on the pedals, capture card, IPC and emergency brake lamps was developed. The rear-end collision warning device was tested on the roads. The road test results show that the emergency brake lamps are lighted in advance about 0.1–0.3 s compared with the conventional brake lamps and warn the drivers to brake earlier. The device could reduce the incidence of rear-end collisions effectively and improve road safety.",
keywords = "Driving behavior, Emergency brake lamp, Emergency braking behavior prediction",
author = "Shaobin Wu and Wenhao Wang and Zhiwei Li and Li Gao",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2018.; 17th International Conference on Man–Machine–Environment System Engineering, MMESE 2017 ; Conference date: 21-10-2017 Through 23-10-2017",
year = "2018",
doi = "10.1007/978-981-10-6232-2_48",
language = "English",
isbn = "9789811062315",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "415--422",
editor = "Shengzhao Long and Dhillon, {Balbir S}",
booktitle = "Man–Machine–Environment System Engineering - Proceedings of the 17th International Conference on MMESE",
address = "Germany",
}