Design of Vehicle Automatic Braking Systems Considering Drivers’ Braking Characteristics

doi:10.23940/ijpe.19.09.p6.23382345

Int J Performability Eng ›› 2019, Vol. 15 ›› Issue (9): 2338-2345.doi: 10.23940/ijpe.19.09.p6.23382345

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Design of Vehicle Automatic Braking Systems Considering Drivers’ Braking Characteristics

Zhenhai Gao^a, Tianjun Sun^a, MuHammad Hassan^b,c, and Liupu Wang^c,d,e,*

^aCollege of Automotive Engineering, Jilin University, Changchun, 130022, China
^bDepartment of Computer Science and Information Technology University of Malakand, KP, Pakista
^cCollege of Computer Science and Technology, Jilin University, Changchun, 130012, China
^dCancer Hospital Attached to Xinjiang Medical University, Urumqi, 830000, China
^eKey Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, 130012, China

Submitted on ; Revised on ; Accepted on
Contact: *.E-mail address: wanglpu@jlu.edu.cn

Abstract

Abstract: With the rapid development of advanced driver assistance systems (ADAS), an automatic braking system has become increasingly important when faced with complicated traffic. The conventional decision-making method for the braking system is focused on security but lacks consideration of drivers' characteristics, which generates feelings of fear and frustration. We propose an anthropomorphic braking method based on vehicle kinematic characteristics and dynamic theories to improve the original system and eliminate the sense of jerking. Furthermore, on the basis of the traditional time to collision (TTC) algorithm, we consider the random motion of the target vehicle and develop a dynamic time to collision (DTTC) algorithm to meet different drivers' braking requirements. Therefore, in this study, the braking model is optimized by a series of driving simulator and real-vehicle braking tests. Finally, the validity and feasibility of the method are verified through the simulations of different braking modes.

Key words: automatic braking system, TTC, DTTC, decision-making algorithm

Zhenhai Gao, Tianjun Sun, MuHammad Hassan, and Liupu Wang. Design of Vehicle Automatic Braking Systems Considering Drivers’ Braking Characteristics [J]. Int J Performability Eng, 2019, 15(9): 2338-2345.

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Design of Vehicle Automatic Braking Systems Considering Drivers’ Braking Characteristics

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