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
  • [21] A new car-following model with consideration of the prevision driving behavior
    Zhou, Tong
    Sun, Dihua
    Kang, Yirong
    Li, Huamin
    Tian, Chuan
    COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2014, 19 (10) : 3820 - 3826
  • [22] Observation of real driving behavior in car-following: Preliminary results
    Kim, T
    Lovell, DJ
    VTC2005-SPRING: 2005 IEEE 61ST VEHICULAR TECHNOLOGY CONFERENCE, VOLS 1-5, PROCEEDINGS, 2005, : 2939 - 2943
  • [23] Segmentation and Clustering of Car-Following Behavior: Recognition of Driving Patterns
    Higgs, Bryan
    Abbas, Montasir
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, 16 (01) : 81 - 90
  • [24] Modeling Car-Following Behavior on Freeways Considering Driving Style
    Sun, Ping
    Wang, Xuesong
    Zhu, Meixin
    JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS, 2021, 147 (12)
  • [25] A new car-following model with consideration of anticipation driving behavior
    Zheng, Lin-Jiang
    Tian, Chuan
    Sun, Di-Hua
    Liu, Wei-Ning
    NONLINEAR DYNAMICS, 2012, 70 (02) : 1205 - 1211
  • [26] Driving Simulator Validation Study Under Car-following Condition
    Zhang Y.
    Guo Z.
    Li Z.
    Tongji Daxue Xuebao/Journal of Tongji University, 2020, 48 (06): : 847 - 853
  • [27] Effects of an integrated collision warning system on risk compensation behavior: An examination under naturalistic driving conditions
    Yu, Bo
    Bao, Shan
    Chen, Yuren
    LeBlanc, David J.
    ACCIDENT ANALYSIS AND PREVENTION, 2021, 163
  • [28] The role of drivers' social interactions in their driving behavior: Empirical evidence and implications for car-following and traffic flow
    Mohammadi, Sevin
    Arvin, Ramin
    Khattak, Asad J.
    Chakraborty, Subhadeep
    TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2021, 80 : 203 - 217
  • [29] Improved Car-Following Strategy Based on Merging Behavior Prediction of Adjacent Vehicle From Naturalistic Driving Data
    Guo, Yingshi
    Sun, Qinyu
    Fu, Rui
    Wang, Chang
    IEEE ACCESS, 2019, 7 : 44258 - 44268
  • [30] Empirical Verification of Car-Following Parameters Using Naturalistic Driving Data on Freeway Segments
    Zhou, Yirong
    Medina, Juan C.
    Taylor, Jeffrey
    Liu, Xiaoyue Cathy
    JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS, 2022, 148 (02)