Article
A COMPREHENSIVE ANALYSIS OF DISTRACTED DRIVING USING A DRIVING SIMULATOR
DOI: 10.7708/ijtte.2020.10(2).10
10 / 2 / 252 - 265 Pages
Author(s)
Samira Ahangari - Department of Transportation and Urban Infrastructure Studies, Morgan State University, Baltimore, MD 21251, USA -
Abstract
Studies have examined the detrimental impact of distracted driving on safety; however, the effect of different types of distraction accompanied by different road classes has not been investigated. This study used a high-fidelity driving simulator to examine the driving behavior of young participants while engaged in various distractions – no cell phone, hands-free call, hand-held call, voice commands text, text, clothing, eating or drinking – on different road classes: rural collector, freeway, urban arterial, and local road in a school zone. Some 92 participants drove a simulated network in Baltimore County with seven scenarios (one base scenario without any distraction and six different types of distraction). Participants also completed questionnaires documenting demographics and driving behavior before and after the driving simulator experience. The descriptive and statistical analysis revealed the negative impact of distraction on safety, such that participants exhibited greater fluctuations in speed, changed lanes significantly more times, and deviated from the center of the road when they were distracted while driving. The results indicated that drivers reduced their speed up to 33% while distracted with hands-free/voice command cell phone usage, which is inconsistent with the current cell phone usage policies in most states.
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Acknowledgements:
The authors would like to thank the Maryland Department of Transportation-Motor Vehicle Administration-Maryland Highway Safety Office (GN-Morgan State -2019-291) and the Urban Mobility & Equity Center, a Tier 1 University Transportation Center of the U.S. DOT University Transportation Centers Program, at Morgan State University for their funding support.
References:
Ahangari, S.; Hasanpour, A.H.; Khadem, N.; Banerjee, S. 2019. Investigating the Impact of Distracted Driving among Different Socio-Demographic Groups. Urban Mobility & Equity Center, Morgan State University, Baltimore, 54p.
Charlton, S. G. 2009. Driving while conversing: Cell phones that distract and passengers who react, Accident Analysis & Prevention 41(1): 160–173.
Choudhary, P.; Velaga, N. R. 2017. Analysis of vehicle-based lateral performance measures during distracted driving due to phone use, Transportation Research Part F: Traffic Psychology and Behaviour 44: 120–133.
Drews, F. A.; Pasupathi, M.; Strayer, D. L. 2004. Passenger and cell-phone conversations in simulated driving, Proceedings of the Human Factors and Ergonomics Society Annual Meeting 48: 2210–2212.
Drews, F. A.; Yazdani, H.; Godfrey, C. N.; Cooper, J. M.; Strayer, D. L. 2009. Text messaging during simulated driving, Human Factors 51(5): 762–770.
Gliklich, E.; Guo, R.; Bergmark, R. W. 2016. Texting while driving: A study of 1211 US adults with the Distracted Driving Survey, Preventive Medicine Reports 4: 486–489.
He, J.; Chaparro, A.; Nguyen, B.; Burge, R. J.; Crandall, J.; Chaparro, B.; Ni, R.; Cao, S. 2014. Texting while driving: Is speech-based text entry less risky than handheld text entry?, Accident Analysis & Prevention 72: 287–295.
Horberry, T.; Anderson, J.; Regan, M. A.; Triggs, T. J.; Brown, J. 2006. Driver distraction: The effects of concurrent in-vehicle tasks, road environment complexity and age on driving performance, Accident Analysis & Prevention 38(1): 185–191.
Lee, J. D. 2017. Driver Distraction and Inattention: Advances in Research and Countermeasures, CRC Press Vol. 1.
Lee, J. Y.; Lee, J. D.; Bärgman, J.; Lee, J.; Reimer, B. 2018. How safe is tuning a radio?: Using the radio tuning task as a benchmark for distracted driving, Accident Analysis & Prevention 110: 29–37.
Lipovac, K.; Djerić, M.; Tešić, M.; Andrić, Z.; Marić, B. 2017. Mobile phone use while driving-literary review, Transportation Research Part F: Traffic Psychology and Behaviour 47: 132–142.
Liu, C.; Lu, C.; Wang, S.; Sharma, A.; Shaw, J. 2019. A longitudinal analysis of the effectiveness of California’s ban on cellphone use while driving, Transportation Research Part A: Policy and Practice 124: 456–467.
Neale, V. L.; Dingus, T. A.; Klauer, S. G.; Sudweeks, J.; Goodman, M. 2005. An overview of the 100-car naturalistic study and findings, National Highway Traffic Safety Administration, 05-0400: 1-10.
NHTSA. 2015. National Survey on Distracted Driving Attitudes and Behaviors, Behavioral Safety Research. Available from Internet: https://rosap.ntl.bts.gov/view/dot/35960.
Overton, T. L.; Rives, T. E.; Hecht, C.; Shafi, S.; Gandhi, R. R. 2015. Distracted driving: Prevalence, problems, and prevention, International Journal of Injury Control and Safety Promotion 22(3): 187–192.
Oviedo-Trespalacios, O.; Williamson, A.; King, M. 2019. User preferences and design recommendations for voluntary smartphone applications to prevent distracted driving, Transportation Research Part F: Traffic Psychology and Behaviour 64: 47–57.
Schlehofer, M. M.; Thompson, S. C.; Ting, S.; Ostermann; S.; Nierman, A.; Skenderian, J. 2010. Psychological predictors of college students’ cell phone use while driving, Accident Analysis & Prevention 42(4): 1107–1112.
Stavrinos, D.; Jones, J. L.; Garner, A. A.; Griffin, R.; Franklin, C. A.; Ball, D.; Welburn, S. C.; Ball, K. K.; Sisiopiku, V. P.; Fine, P. R. 2013. Impact of distracted driving on safety and traffic flow, Accident Analysis & Prevention 61: 63-70.
Stutts, J. C.; Reinfurt, D. W.; Rodgman, E. A. 2001. The role of driver distraction in crashes: An analysis of 1995-1999 Crashworthiness Data System Data. In Annual Proceedings. Association for the Advancement of Automotive Medicine, 45: 287–301.
Thomas, S.; Zuckman, J.; Beck, D. 2012. AT&T teen driver survey. Available from internet: https://www.att.com/Common/about_us/txting_driving/att_teen_survey_executive.pdf.
Törnros, J. E.; Bolling, A. K. 2005. Mobile phone use—Effects of handheld and handsfree phones on driving performance, Accident Analysis & Prevention 37(5): 902–909.
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