An examination of teen drivers' car-following behavior under naturalistic driving conditions: With and without an advanced driving assistance system

被引:37
|
作者
Bao, Shan [1 ,2 ]
Wu, Ling [2 ]
Yu, Bo [2 ]
Sayer, James R. [2 ]
机构
[1] Univ Michigan, Ind & Mfg Syst Engn Dept, 4901 Evergreen Rd, Dearborn, MI 48128 USA
[2] Univ Michigan, Transportat Res Inst, 2901 Baxter Rd, Ann Arbor, MI 48109 USA
来源
关键词
Teen drivers; ADAS; Car-following behavior; Behavior change; Naturalistic driving data; WARNING SYSTEM; CRASH; INTERVENTION; INTERSECTION; EXPERIENCE; PASSENGERS; YOUNGER; SPEED; RISK; AGE;
D O I
10.1016/j.aap.2020.105762
中图分类号
TB18 [人体工程学];
学科分类号
1201 ;
摘要
Teen drivers are overrepresented in motor vehicle crashes, and most studies concluded it was mainly due to their lack of experiences and tendencies of risk-taking. The design of advanced driving assistance systems (ADAS) aims to provide assistance in multiple stages in human information processing during driving, including environmental sensing, information processing, decision making, and vehicle controlling, in order to improve driving safety. It is expected that novice drivers may benefit more from using ADAS than adult drivers as such technologies can compensate for their frequent errors. This study examined whether and how an integrated crash warning system impacted on drivers' following behavior, and what were the corresponding age-related differences through an analysis of two unique naturalistic driving study datasets. Significant age-related differences in car-following behavior were found. Results showed potential negative effects of ADAS on teen drivers' following behavior that teen drivers tended to have less controlled pedal use during treatment weeks with ADAS than during baseline weeks without ADAS, while such behavior was not observed in adult drivers. All adult drivers tended to keep longer headways when driving at night than during daytime to compensate for poor vision conditions, but no such compensation behavior was observed in the teens. In addition, teen and young-adult drivers had more aggressive following behavior (with shorter mean time headway) than middle-aged and older drivers. One limitation of this study is that the findings of this study are only addressing the short-term effect of ADAS exposure, and future studies are needed to examine the longitudinal effect. The findings of this study suggest that the design of future ADAS should consider minimizing potential negative impacts on teen driver behavior.
引用
收藏
页数:7
相关论文
共 50 条
  • [41] An extended car-following model in a multi-interaction driving system
    Tuo, Manxian
    Applied Mechanics and Materials, 2012, 178-181 : 2717 - 2720
  • [42] Analyzing driver behavior under naturalistic driving conditions: A review
    Singh, Harpreet
    Kathuria, Ankit
    ACCIDENT ANALYSIS AND PREVENTION, 2021, 150
  • [43] Influence of Cut-in Situation on Driving Behavior of the Following Car Drivers
    Wu, Fuwei
    Fu, Rui
    Wang, Xin
    Liu, Jinfeng
    MAN-MACHINE-ENVIRONMENT SYSTEM ENGINEERING (MMESE 2019), 2020, 576 : 653 - 660
  • [44] Feedback control for car-following model with the consideration of the delay memory driving behavior
    Zhou, Tong
    Li, Yuxuan
    Yang, Zhiyong
    2021 13TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI), 2021, : 1 - 5
  • [45] Exploring Driver's Deceleration Behavior in Car-Following: A Driving Simulator Study
    Hang, Junyu
    Yan, Xuedong
    Duan, Ke
    Li, Xiaomeng
    Yang, Jingsi
    CICTP 2020: ADVANCED TRANSPORTATION TECHNOLOGIES AND DEVELOPMENT-ENHANCING CONNECTIONS, 2020, : 3817 - 3829
  • [46] Risk Field Model of Driving and Its Application in Modeling Car-Following Behavior
    Tan, Haitian
    Lu, Guangquan
    Liu, Miaomiao
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (08) : 11605 - 11620
  • [47] Stability analysis based on instantaneous driving behavior using car-following data
    Ranjitkar, P
    Nakatsuji, T
    Azuta, Y
    Gurusinghe, GS
    TRAFFIC FLOW THEORY AND HIGHWAY CAPACITY 2003: HIGHWAY OPERATIONS, CAPACITY, AND TRAFFIC CONTROL, 2003, (1852): : 140 - 151
  • [48] Influences of battery exchange on the vehicle's driving behavior and running time under car-following model
    Tang, Tie-Qiao
    Xu, Ke-Wei
    Yang, Shi-Chun
    Shang, Hua-Yan
    MEASUREMENT, 2015, 59 : 30 - 37
  • [49] How various urgencies and visibilities influence drivers' takeover performance in critical car-following conditions? A driving simulation study
    Lin, Zijian
    Chen, Feng
    TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2024, 104 : 303 - 317
  • [50] Examination of drivers' cell phone use behavior at intersections by using naturalistic driving data
    Xiong, Huimin
    Bao, Shan
    Sayer, James
    Kato, Kazuma
    JOURNAL OF SAFETY RESEARCH, 2015, 54 : 89 - 93