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作者:

Li, Haijian (Li, Haijian.) | Zhao, Guoqiang (Zhao, Guoqiang.) | Yang, Yanfang (Yang, Yanfang.) | Chang, Xin (Chang, Xin.) | Zhao, Xiaohua (Zhao, Xiaohua.)

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EI CSCD

摘要:

Emergency braking event of the vehicle in front is one of the main causes of a forward collision. If the driver can sense the emergency braking event of the vehicle in front timely, the coping behavior can be changed from passive visual stimulation to active coping behavior based on psychological expectation, which will greatly reduce the accident rate. Based on driving simulation technology, an emergency braking event in the cooperative vehicle infrastructure system was designed to provide the emergency braking warning information of the vehicle in front with the vehicle-mounted Human Machine Interface (HMI) at the distance of 360 m and 290 m. Driving behavior data and evaluation indexes were obtained from driving behaviors of qualified drivers in the driving simulation experi-ment. After a comparative analysis of driving behavior data with and without HMI warning information, a method was proposed for analyzing the driving characteristics of the emergency braking event of the vehicle in front in the cooperative vehicle infrastructure system based on spatiotemporal diagram. The driving confidence characteristics of 35 drivers in emergency braking event were analyzed based on their average acceleration characteristics. The results show that when the HMI warning information is available, the drivers tend to decelerate earlier with lower speed control intensity than that when the HMI warning information is not available. According to the curvature index, the speed control intensity is reduced by 39.4%. When the HMI warning information is available, the speed control is more leisurely, and the drivers can proactively respond to the risk environment with the characteristics of driving confidence. © 2020, Editorial Department, Journal of South China University of Technology. All right reserved.

关键词:

Accidents Behavioral research Braking Speed control Speed regulators Vehicles

作者机构:

  • [ 1 ] [Li, Haijian]Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Zhao, Guoqiang]Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Yang, Yanfang]Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, China Academy of Transportation Sciences, MOT, Beijing; 100029, China
  • [ 4 ] [Chang, Xin]Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 5 ] [Zhao, Xiaohua]Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing; 100124, China

通讯作者信息:

  • [yang, yanfang]key laboratory of transport industry of big data application technologies for comprehensive transport, china academy of transportation sciences, mot, beijing; 100029, china

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来源 :

Journal of South China University of Technology (Natural Science)

ISSN: 1000-565X

年份: 2020

期: 7

卷: 48

页码: 76-84

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 3

ESI高被引论文在榜: 0 展开所有

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