Simulator Study on the Response Time and Defensive Behavior of Drivers in a Cut-in Situation
The purpose of this study was to record and analyze various reaction times and behaviors of drivers in response to cut-in situations in a driving simulator. A total of 105 male and female volunteers between the age of 20 and 49 participated in an experiment in a driving simulator with an installed e...
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| Published in | International journal of automotive technology Vol. 23; no. 3; pp. 817 - 827 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Seoul
The Korean Society of Automotive Engineers
01.06.2022
Springer Nature B.V 한국자동차공학회 |
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| Abstract | The purpose of this study was to record and analyze various reaction times and behaviors of drivers in response to cut-in situations in a driving simulator. A total of 105 male and female volunteers between the age of 20 and 49 participated in an experiment in a driving simulator with an installed eye-tracking system. The participants experienced a scenario in which a vehicle parked on a shoulder unexpectedly cut in while they were driving on a city road. The mean perceived reaction time was 1.05 s with a standard deviation of 0.43 s. The mean brake/steering reaction time after perceiving the danger was 0.59/0.56 s with a standard deviation of 0.40/0.42 s. The influence of age and gender was observed only in the steering reaction time. No interaction effects were found in any reaction times. Approximately half the drivers steered first and then braked to avoid collision. The perceived reaction time in accident cases was longer than in no-accident cases. A rich dataset was established based on the 93 valid participants who completed the experiment, and established database can be used as a look-up table to identify the percentile of a certain cut-in case. |
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| AbstractList | The purpose of this study was to record and analyze various reaction times and behaviors of drivers in response to cut-in situations in a driving simulator. A total of 105 male and female volunteers between the age of 20 and 49 participated in an experiment in a driving simulator with an installed eye-tracking system. The participants experienced a scenario in which a vehicle parked on a shoulder unexpectedly cut in while they were driving on a city road. The mean perceived reaction time was 1.05 s with a standard deviation of 0.43 s. The mean brake/steering reaction time after perceiving the danger was 0.59/0.56 s with a standard deviation of 0.40/0.42 s. The influence of age and gender was observed only in the steering reaction time. No interaction effects were found in any reaction times. Approximately half the drivers steered first and then braked to avoid collision. The perceived reaction time in accident cases was longer than in no-accident cases. A rich dataset was established based on the 93 valid participants who completed the experiment, and established database can be used as a look-up table to identify the percentile of a certain cut-in case. The purpose of this study was to record and analyze various reaction times and behaviors of drivers in response to cut-in situations in a driving simulator. A total of 105 male and female volunteers between the age of 20 and 49 participated in an experiment in a driving simulator with an installed eye-tracking system. The participants experienced a scenario in which a vehicle parked on a shoulder unexpectedly cut in while they were driving on a city road. The mean perceived reaction time was 1.05 s with a standard deviation of 0.43 s. The mean brake/steering reaction time after perceiving the danger was 0.59/0.56 s with a standard deviation of 0.40/0.42 s. The influence of age and gender was observed only in the steering reaction time. No interaction effects were found in any reaction times. Approximately half the drivers steered first and then braked to avoid collision. The perceived reaction time in accident cases was longer than in no-accident cases. A rich dataset was established based on the 93 valid participants who completed the experiment, and established database can be used as a look-up table to identify the percentile of a certain cut-in case. KCI Citation Count: 0 |
| Author | Kim, Songhui Yang, Ji Hyun Kim, Jonghyuk Lee, Myeongkyu |
| Author_xml | – sequence: 1 givenname: Myeongkyu surname: Lee fullname: Lee, Myeongkyu organization: Graduate School of Automotive Engineering, Kookmin University – sequence: 2 givenname: Songhui surname: Kim fullname: Kim, Songhui organization: Traffic Accident Analysis Division, National Forensic Service – sequence: 3 givenname: Jonghyuk surname: Kim fullname: Kim, Jonghyuk organization: Traffic Accident Analysis Division, National Forensic Service – sequence: 4 givenname: Ji Hyun surname: Yang fullname: Yang, Ji Hyun email: yangjh@kookmin.ac.kr organization: Department of Automotive Engineering, Kookmin University |
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| References_xml | – reference: MarkkulaGEngströmJLodinJBärgmanJVictorTA farewell to brake reaction times? Kinematics-dependent brake response in naturalistic rear-end emergenciesAccident Analysis & Prevention20169520922610.1016/j.aap.2016.07.007 – reference: Zhao, D., Peng, H., Lam, H., Bao, S., Nobukawa, K., Le Blanc, D. J. and Pan, C. S. (2015). Accelerated evaluation of automated vehicles in lane change scenarios. Dynamic Systems and Control Conf. (DSCC), Columbus, Ohio, USA. – reference: Park, Y., Cho, K. and In, Y. (2017). A study on highway accidents in-depth analysis using video data: Evaluation scenarios for taking over control from autonomous vehicles. Proc. Ergonomics Society of Korea (ESK) Conf., Jeju, Korea. – reference: World Health Organization (WHO) (2018). Global status report on road safety 2018: Summary (No. WHO/NMH/NVI/18.20). Retrieved from https://apps.who.int/iris/bitstream/handle/10665/276462/9789241565684-eng.pdf – reference: ChoiJJeongSKimJKimTShinJA study on driver perception-reaction time in high-speed driving situationsInt. J. Highway Engineering201719110711910.7855/IJHE.2017.19.1.107 – reference: JamalARahmanM TAl-AhmadiH MMansoorUThe dilemma of road safety in the eastern province of Saudi Arabia: Consequences and prevention strategiesInt. J. Environmental Research and Public Health202017115710.3390/ijerph17010157 – reference: National Highway Traffic Safety Administration (NHTSA) (2001). Traffic Safety Facts 2000: A Compilation of Motor Vehicle Crash Data from the Fatality Analysis Reporting System and the General Estimates System. DOT HS 809 337. – reference: RecarteM ANunesL MMental workload while driving: Effects on visual search, discrimination, and decision makingJ. Experimental Psychology: Applied200392119 – reference: HanHLeeSShimHKimSYangJ HA study on the driver’s response time unde rjaywalking situation using simulatorTrans. Korean Society of Automotive Engineers202028747148110.7467/KSAE.2020.28.7.471 – reference: MuhrerEReinprechtKVollrathMDriving with a partially autonomous forward collision warning system: How do drivers react?Human Factors201254569870810.1177/0018720812439712 – reference: BenderiusOMarkkulaGWolffKWahdeMDriver behaviour in unexpected critical events and in repeated exposures—A comparisonEuropean Transport Research Review201461516010.1007/s12544-013-0108-y – reference: Society of Automotive Engineers. (2015). Operational definitions of driving performance measures and statistics. Surface Vehicle Recommended Practice J2944. – reference: American Association of State HighwayTransportation Officials AASHTOA Policy on Geometric Design of Highways and Streets20116th ednWashington DC, USAAASHTO. – reference: PiccininiG BLehtonenEForcolinFEngströmJAlbersDMarkkulaGLodinJSandinJHow do drivers respond to silent automation failures? Driving simulator study and comparison of computational driver braking modelsHuman Factors20206271212122910.1177/0018720819875347 – reference: Ciceri, M., Ruscio, D., Confalonieri, F., Vangi, D. and Virga, A. (2013). Hazard detection in driving context and braking reaction time. 22nd EVU Annual Conf., Florence, Italy. – reference: D’AddarioPDonmezBThe effect of cognitive distraction on perception-response time to unexpected abrupt and gradually onset roadway hazardsAccident Analysis & Prevention201912717718510.1016/j.aap.2019.03.003 – reference: ISO 15007-1 (2014). Road vehicles-Measurement of driver visual behaviour with respect to transport information and control systems-Part 1: Definitions and parameters. – reference: Financial Supervisory Service (2014). Retrieved from http://www.fss.or.kr/fss/insucop/bodo_view.jsp?seqno=17923&no=9&s_title=%C1%F6%B4%C9%C8%AD&s_kind=content&page=1 – reference: Financial Supervisory Service (2015). Retrieved from http://www.fss.or.kr/fss/insucop/bodo_view.jsp?seqno=1 8649&no=2&s_title=%C2%F7%BC%B1%BA%AF%B 0% E6&s_kind=content&page=1 – reference: Shan, Y., Wang, C., Gao, J., Song, D., He, A. and Zhang, R. (2017). Combined Bayesian network-based recognition of lane changing behavior. Information Technology and Intelligent Transportation Systems, 21–28. – reference: Santarosa-Lawyer (2020). 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J. Highway Engineering doi: 10.7855/IJHE.2017.19.1.107 – ident: 73_CR9 – volume: 54 start-page: 698 issue: 5 year: 2012 ident: 73_CR14 publication-title: Human Factors doi: 10.1177/0018720812439712 – ident: 73_CR24 doi: 10.1115/DSCC2015-9718 – volume: 17 start-page: 157 issue: 1 year: 2020 ident: 73_CR10 publication-title: Int. J. Environmental Research and Public Health doi: 10.3390/ijerph17010157 – volume: 9 start-page: 119 issue: 2 year: 2003 ident: 73_CR18 publication-title: J. Experimental Psychology: Applied – volume: 6 start-page: 51 issue: 1 year: 2014 ident: 73_CR2 publication-title: European Transport Research Review doi: 10.1007/s12544-013-0108-y – volume: 127 start-page: 177 year: 2019 ident: 73_CR5 publication-title: Accident Analysis & Prevention doi: 10.1016/j.aap.2019.03.003 – volume: 28 start-page: 471 issue: 7 year: 2020 ident: 73_CR8 publication-title: Trans. 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| SubjectTerms | Accidents Automotive Engineering Collision avoidance Driver behavior Engineering Eye movements Lookup tables Reaction time Response time Simulation Standard deviation Steering Tracking systems 자동차공학 |
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| Title | Simulator Study on the Response Time and Defensive Behavior of Drivers in a Cut-in Situation |
| URI | https://link.springer.com/article/10.1007/s12239-022-0073-3 https://www.proquest.com/docview/2672841534 https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002843319 |
| Volume | 23 |
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| ispartofPNX | International Journal of Automotive Technology, 2022, 23(3), 127, pp.817-827 |
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