Journal of South China University of Technology(Natural Science) >

2024 , Vol. 52 >Issue 9: 142 - 152

DOI: https://doi.org/10.12141/j.issn.1000-565X.230579

Traffic & Transportation Engineering

Study on Evaluation and Influencing Factors of Cognitive Driving Ability in Elderly Drivers

  • CHEN Bingshuo ,
  • LI Yang ,
  • ZHAO Xiaohua ,
  • LIU Xiaoming
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  • 1.School of Urban Transportation, Beijing University of Technology, Beijing 100124, China
    2.Department of Road Traffic Management, Beijing Police College, Beijing 102202, China
李洋（1979—），男，博士，高级工程师，主要从事交通管理和交通法规研究。E-mail： yang_li009@163.com

Received date: 2023-09-14

  Online published: 2024-01-03

Supported by

Beijing Municipal Education Commission Science and Technology Plan General Project(KM202014019001)

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Abstract

The number of elderly drivers in China continues to grow, and the changes in the driver structure pose challenges to traffic safety. Compared to drivers in other age groups, elderly drivers’ psychological function gradually declines and they are more prone to traffic accidents. Cognitive function is significantly correlated with driving safety performance. Based on the driving characteristics of elderly people, this article started from three cognitive functional areas of attention response ability, executive processing ability, and spatial perception ability, and designed driving simulation experiments to obtain cognitive driving behavior data. It analyzed the differences in driving behavior characteristics among young people, middle-aged people, and elderly people. By combining subjective and objective methods to determine indicator, weights, a method for calculating the cognitive driving behavior index was proposed. A generalized linear mixed model was established with driver attributes and cognitive function as independent variables and cognitive driving behavior index as dependent variable to explore the impact of different factors on cognitive driving ability. The results showed that age, weekly driving frequency, self-regulation, and TMT-B (Trail Making Test-B) were significantly correlated with cognitive driving behavior index, with MMSE (Mini-mental State Examination) showing marginal significant correlation. The cognitive driving behavior index of elderly drivers was greatly influenced by individual traits. Compared to the elderly, the cognitive driving behavior index of young people was worse, while that of middle-aged people was better. People with lower weekly driving frequency had better cognitive driving behavior index than those with higher weekly driving frequency. Drivers with low and medium self-regulation frequencies have better cognitive driving behavior indices than those with high self-regulation frequencies. TMT-B measurement showed that the cognitive driving behavior index of drivers with normal cognition was better than those with cognitive impairment. Starting from the perspective of human factors in traffic accidents, this study explored the cognitive challenges faced by elderly drivers, proposed a calculation method for the cognitive driving behavior index of elderly people, and analyzed the influencing factors, providing reference for simplifying the evaluation process of elderly driving suitability and formulating driving safety intervention strategies.

Key words： elderly driver; cognitive function; driving behavior; safety evaluation; traffic management

Cite this article

CHEN Bingshuo , LI Yang , ZHAO Xiaohua , LIU Xiaoming . Study on Evaluation and Influencing Factors of Cognitive Driving Ability in Elderly Drivers[J]. Journal of South China University of Technology(Natural Science), 2024 , 52(9) : 142 -152 . DOI: 10.12141/j.issn.1000-565X.230579

References

1 老龄健康司 ．2020年度国家老龄事业发展公报［EB/OL］．（2021-10-15）［2023-08-15］．.
2 巩建国，刘晓晨，綦聪，等 ．老年驾驶人驾驶安全特性与事故预防对策研究［J］．综合运输，2023，45（1）：34-38．
  GONG Jianguo， LIU Xiaochen， QI Cong，et，al ．Research on the safety characteristics and accident prevention measures of elderly drivers［J］．Comprehensive Transportation，2023，45 （1）：34-38．
3 沈永俊，谭旭 ．结合功能测试与模拟驾驶的老年人驾驶适性评估［J］．东南大学学报（自然科学版），2021，51（1）：171-177．
  SHEN Yongjun， TAN Xu ．Combining functional testing with simulated driving to assess the driving adaptability of elderly people［J］．Journal of Southeast University （Natural Science Edition），2021，51 （1）：171-177．
4 SANDER M， OXLUND B， JESPERSEN A，et al ．The challenges of human population ageing［J］．Age and Ageing，2015，44（2）：185-187．
5 刘蕾 ．老年机动车驾驶人的交通特点分析及交通安全对策研究［J］．法制与社会，2017（21）：176-177．
  LIU Lei ．Analysis of traffic characteristics and research on traffic safety countermeasures for elderly motor vehicle driver ［J］．Law and Society，2017（21）：176-177．
6 刘文丽 ．基于车辆行驶状态的驾驶员驾驶能力评价方法研究［D］．重庆：重庆大学，2019．
7 AKSAN N， ANDERSON S W， DAWSON J，et al ．Cognitive functioning differentially predicts different dimensions of older drivers’ on-road safety［J］．Accident Analysis & Prevention，2015，75：236-244．
8 DEPESTELE S， ROSS V， VERSTRAELEN S，et al ．The impact of cognitive functioning on driving performance of older persons in comparison to younger age groups：a systematic review［J］．Transportation Research Part F：Traffic Psychology and Behaviour，2020，73：433-452．
9 BARJONET P ．Traffic psychology today［M］．New York：Springer Science & Business Media，2001．
10 CUENEN A， JONGEN E M M， BRIJS T，et al ．The relations between specific measures of simulated driving ability and functional ability：new insights for assessment and training programs of older drivers［J］．Transportation Research Part F：Traffic Psychology and Behaviour，2016，39：65-78．
11 MATHIAS J L， LUCAS L K ．Cognitive predictors of unsafe driving in older drivers：a meta-analysis［J］．International Psychogeriatrics，2009，21（4）：637-653．
12 PARK S， CHOI E S， LIM M H，et al ．Association between unsafe driving performance and cognitive‐perceptual dysfunction in older drivers［J］．Physical Medicine and Rehabilitation，2011，3（3）：198-203．
13 ANDREWS E C， WESTERMAN S J ．Age differences in simulated driving performance：compensatory processes［J］．Accident Analysis & Prevention，2012，45：660-668．
14 LEDGER S， BENNETT J M， CHEKALUK E，et al ．Cognitive function and driving：important for young and old alike［J］．Transportation Research Part F：Traffic Psychology and Behaviour，2019，60：262-273．
15 张殿业，金键，杨京帅 ．老年人驾驶反应行为分析［J］．交通运输工程与信息学报，2004（3）：1-5．
  ZHANG Dianye， JIN Jian， YANG Jingshuai ．Analysis of driving response behavior among elderly people［J］．Journal of Transportation Engineering and Information Technology，2004（3）：1-5．
16 吴琼 ．基于情感化的新能源老年代步车内饰设计研究［D］．济南：山东大学，2020．
17 姜凯 ．登山杖长度对登山动作影响的生物力学研究［D］．金华：浙江师范大学，2019．
18 ANDREWS E C， WESTERMAN S J ．Age differences in simulated driving performance：compensatory processes［J］．Accident Analysis & Prevention，2012，45：660-668．
19 李猛杰，李璐璐，德新玲，等 ．沧州地区公路客货运司机安全驾驶能力评价指标体系构建研究［J］．时代汽车，2022（22）：174-176．
  LI Mengjie， LI Lulu， DE Xinling，et al ．Research on the construction of safety driving ability evaluation index system for highway passenger and freight drivers in cangzhou region［J］．Times Automotive，2022 （22）：174-176．
20 LAJUNEN T， SUMMALA H ．Driving experience，personality，and skill and safety-motive dimensions in drivers’ self-assessments［J］．Personality and Individual Differences，1995，19（3）：307-318．
21 SUNDSTR?M A ．The validity of self-reported driver competence：relations between measures of perceived driver competence and actual driving skill［J］．Transportation Research Part F：Traffic Psychology and Behaviour，2011，14（2）：155-163．
22 倪涛 ．认知分心状态下纵向驾驶权切换策略研究［D］．重庆：重庆大学，2020．
23 郭凤香 ．基于风险感知的老年驾驶人行为特性研究［D］．昆明：昆明理工大学，2019．
24 杨艳群，樵婷，郑新夷 ．基于数据包络分析的高速公路指路标志地名数研究［J］．中国公路学报，2020，33（6）：137-146．
  YANG Yanqun， QIAO Ting， ZHENG Xinyi ．Number of place names of freeway guide signs based on data envelopment analysis［J］．China Journal of Highway and Transport，2020，33（6）：137-146．
25 YANG L， BIAN Y， ZHAO X，et al ．Experimental research on the effectiveness of navigation prompt messages based on a driving simulator：a case study［J］．Cognition，Technology & Work，2021，23（3）：439-458．
26 高原 ．无线近红外脑功能成像仪及驾驶疲劳研究［D］．成都：电子科技大学，2017．
27 冯树民，吴迪，孙雅丽 ．基于自然驾驶数据的典型风险场景致因分析［J］．重庆交通大学学报（自然科学版），2022，41（1）：13-21．
  FENG Shumin， WU Di， SUN Yali ．Cause analysis of typical critical scenarios based on naturalistic driving data［J］．Journal of Chongqing Jiaotong University（Natural Science），2022，41（1）：13-21．
28 高岩，苏虎，金炜东 ．面向驾驶安全教育的虚拟交通环境设计与实现［J］．系统仿真学报，2014，26（10）：2481-2485．
  GAO Yan， SU Hu， JIN Weidong ．Design and lmplement of virtual traffic environments for driving safety［J］．Journal of System Simulation，2014，26（10）：2481-2485．
29 SUN M K ．Executive functioning：perspectives on neurotrophic activity and pharmacology［J］．Behavioural Pharmacology，2018，29（7）：592-604．
30 詹静静 ．青年与老年驾驶人车辆操控行为特征及差异性研究［D］．安徽：合肥工业大学，2018．
31 姜景文 ．智能汽车激光点云与视觉图像融合三维目标检测与跟踪算法研究［D］．长春：吉林大学，2023．
32 PAPANDONATOS G D， OTT B R， DAVIS J D，et al ．Clinical utility of the trail-making test as a predictor of driving performance in older adults［J］．Journal of the American Geriatrics Society，2015，63（11）：2358-2364．
33 BIERNACKI M P， LEWKOWICZ R ．Evidence for the role of personality in the cognitive performance of older male drivers［J］．Transportation Research Part F：Traffic Psychology and Behaviour，2020，69：385-400．
34 王亚兵 ．基于驾驶模拟器的驾驶能力评估及其应用研究［D］．北京：北方工业大学，2021．
35 贺玉龙，陈兵硕，高鹏旺，等 ．基于未确知测度理论的高速公路交通安全评价［J］．重庆交通大学学报（自然科学版），2021，40（2）：8-12．
  HE Yulong， CHEN Bingshuo， GAO Pengwang，et al ．Expressway traffic safety evaluation based on unascertained measurement theory［J］．Journal of Chongqing Jiaotong University （Natural Science Edition），2021，40 （2）：8-12．
36 温建敏，张西寨，丁剑锋，等 ．基于层次分析和未确知测度的冲击地压风险评价［J］．矿业研究与开发，2021，41（7）：98-103．
  WEN Jianmin， ZHANG Xizhai， DING Jianfeng，et al ．Risk assessment of rockburst based on Analytic Hierarchy Process and Unascertained Measures［J］．Mining Research and Development，2021，41（7）：98-103．
37 BROWN H， PRESCOTT R ．Applied mixed models in medicine［M］．London：John Wiley & Sons，2000．
38 ROSS L A， CLAY O J， EDWARDS J D，et，al ．Do older drivers at-risk for crashes modify their driving over time？［J］．The Journals of Gerontology Series B：Psychological Sciences and Social Sciences，2009，64（2）：163-170．
39 PAYYANADAN R P， MAUS A， SANCHEZ F A，et al ．Using trip diaries to mitigate route risk and risky driving behavior among older drivers［J］．Accident Analysis & Prevention，2017，106：480-491．
40 REGER M A， WELSH R K， WATSON G S，et al ．The relationship between neuropsychological functioning and driving ability in dementia：a meta-analysis［J］．Neuropsychology，2004，18（1）：85-93．
41 SELANDER H， WRESSLE E， SAMUELSSON K ．Cognitive prerequisites for fitness to drive：norm values for the TMT，UFOV and NorSDSA tests［J］．Scandinavian Journal of Occupational Therapy，2020，27（3）：231-239．
42 邱大鹏 ．基于老龄驾驶行为的汽车人机交互适老化设计研究［D］．无锡：江南大学，2020．
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