Analyzing the Effect of Distractions and Impairments on Young Driver Safety Using Naturalistic Driving Study Data

被引:1
|
作者
Bharadwaj, Nipjyoti [1 ]
Edara, Praveen [2 ]
Sun, Carlos [2 ]
机构
[1] Indian Inst Technol Guwahati, Dept Civil Engn, IIT Annex Civil Engn Bldg 204, North Guwahati 781039, Assam, India
[2] Univ Missouri Columbia, Dept Civil & Environm Engn, E2509 Lafferre Hall, Columbia, MO 65211 USA
关键词
Young drivers; Teen drivers; Naturalistic driving study (NDS); Logistic regression; TEENAGE DRIVERS; RISK; CRASHES; NOVICE; SEVERITY; BEHAVIOR; RATES;
D O I
10.1061/JTEPBS.TEENG-7265
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In the United States, motor vehicle crashes are the leading reason of fatalities for young drivers in the age group of 16-19 years. This paper used naturalistic driving study (NDS) data to examine the safety of young drivers. The NDS data consist of comprehensive information related to driving behavior. The statistical modeling method (logistic regression) was used to investigate the relationship between factors of driver attention such as secondary tasks, impairments, hands on wheel, and crash risk to aid in the formulation of teen driving policy. The results indicated that nondriving tasks engagement such as cell phone use, external distraction, food and drink intake, personal hygiene, and reaching and handling objects in the vehicle increase the possibility of involvement in a safety critical event [odds ratio (OR)=1.67-1.93]. Risk estimation for the observable impairments indicated that emotional state of the driver (OR=6.01) and impairments (drugs/alcohol, OR=5.02) exerted greater influence on crash likelihood compared to involvement in secondary tasks. The study revealed that not all secondary tasks pose the same risk. Transportation agencies can design behavioral countermeasures targeted at young drivers to help increase driver attention. Countermeasures such as increased enforcement, treatment and monitoring of the offender, and education and outreach programs for teenagers may help alleviate impaired driving. (C) 2022 American Society of Civil Engineers.
引用
收藏
页数:8
相关论文
共 50 条
  • [31] Using naturalistic driving data to explore the association between traffic safety-related events and crash risk at driver level
    Wu, Kun-Feng
    Aguero-Valverde, Jonathan
    Jovanis, Paul P.
    ACCIDENT ANALYSIS AND PREVENTION, 2014, 72 : 210 - 218
  • [32] Detecting and Tracking Unsafe Lane Departure Events for Predicting Driver Safety in Challenging Naturalistic Driving Data
    Riera, Luis
    Ozcan, Koray
    Merickel, Jennifer
    Rizzo, Mathew
    Sarkar, Soumik
    Sharma, Anuj
    2020 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), 2020, : 238 - 245
  • [33] Using event-triggered naturalistic data to examine the prevalence of teen driver distractions in rear-end crashes
    Carney, Cher
    Harland, Karisa K.
    McGehee, Daniel V.
    JOURNAL OF SAFETY RESEARCH, 2016, 57 : 47 - 52
  • [34] Exploring the effects of critical driving situations on driver perception time (PT) using SHRP2 naturalistic driving study data
    Wu, Kun-Feng
    Lin, Ya-Jin
    ACCIDENT ANALYSIS AND PREVENTION, 2019, 128 : 94 - 102
  • [35] An investigation on the link between driver demographic characteristics and distracted driving by using the SHRP 2 naturalistic driving data
    Cao H.
    Zhang Z.
    Song X.
    Wang H.
    Li M.
    Zhao S.
    Wang J.
    Journal of Intelligent and Connected Vehicles, 2020, 3 (01): : 1 - 16
  • [36] Studying Driving Behavior on Horizontal Curves using Naturalistic Driving Study Data
    Dhahir, Bashar
    Hassan, Yasser
    TRANSPORTATION RESEARCH RECORD, 2018, 2672 (17) : 83 - 95
  • [37] Driving Style Clustering using Naturalistic Driving Data
    Chen, Kuan-Ting
    Chen, Huei-Yen Winnie
    TRANSPORTATION RESEARCH RECORD, 2019, 2673 (06) : 176 - 188
  • [38] DRIVING AND EARLY STAGE DEMENTIA: IMPROVING SAFETY WITH NATURALISTIC DRIVING DATA
    不详
    GERONTOLOGIST, 2009, 49 : 299 - 299
  • [39] A hybrid approach for identifying factors affecting driver reaction time using naturalistic driving data
    Arbabzadeh, Nasim
    Jafari, Mohsen
    Jalayer, Mohammad
    Jiang, Shan
    Kharbeche, Mohamed
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2019, 100 : 107 - 124
  • [40] Using Naturalistic Driving Study Data to Evaluate the Effects of Intersection Balance on Driver Behavior at Partial Cloverleaf Interchange Terminals
    Wang, Jin
    Zhou, Huaguo
    TRANSPORTATION RESEARCH RECORD, 2018, 2672 (38) : 255 - 265