Transactions on Transport Sciences 2022, 13(3):4-13
Characterizing Technology's Influence on Distractive Behavior at Signalized Intersections
- Department of Civil Engineering, University of Texas at Arlington, 425 Nedderman Hall, Arlington, TX 76019, USA
Distracted driving existed since the invention of the automobile; however, the emergence of the cell phone and electronic devices created another source of distraction that affected drivers visually, physically, cognitively, and audibly. Many studies investigated factors that influenced saturation flow and startup lost time at a signalized intersection, but the impact of new distractions, such as electronic devices and in-vehicle entertainment systems, remained less investigated. This study aimed to characterize technology's influence on driver behavior at intersections and the impact of distractions on startup lost time through a field test conducted at three intersections in Texas. This study used observational analysis and hypothesis testing to understand distraction behaviors and their impacts on individual and aggregated startup lost time. On average, 15% of drivers experienced distraction during a red indication, and a cell phone distracted more than 60% of these drivers. However, in vehicles located behind a heavy vehicle at an intersection, 20% of drivers were distracted, and 80% used a cell phone. Statistical analysis showed that distraction caused significantly higher headways and total lost times than non-distraction conditions. More importantly, technology-induced distraction, which created significant intersection delay, was more uncertain and varied from event to event more than non-technology-induced delay. This study showed that technology-induced distractions from the prevalent use of cell phones created an impact on startup lost time and saturation flow, which remained critical to properly determine the phase and cycle lengths.
Keywords: Distraction; Intersection; Saturation Flow; Start Up Lost Time; Technology
Received: August 18, 2021; Revised: July 3, 2022; Accepted: July 13, 2022; Prepublished online: September 7, 2022; Published: January 9, 2023 Show citation
References
- Alembo, Z. A. (2014). User delay costs and uncertainty in the traffic forecast for road projects [KTH Royal Institute of Technology]. https://www.diva-portal.org/smash/get/diva2:739736/FULLTEXT01.pdf
- Alshabibi, N. (2021). Impact Assessment of Driver Distraction by Cellphone on Start-up Lost-time and Average Saturation Headway at Signalized Intersections Based on Vehicle Position in the Queue. Periodica Polytechnica Transportation Engineering, 49(4), 359-368. https://doi.org/10.3311/PPTR.16785
Go to original source...
- Beede, K. E., & Kass, S. J. (2006). Engrossed in conversation: The impact of cell phones on simulated driving performance. Accident Analysis and Prevention, 38(2), 415-421. https://doi.org/10.1016/j.aap.2005.10.015
Go to original source...
- Bivina, G. R., Landge, V., & Kumar, V. S. S. (2016). Socio Economic Valuation of Traffic Delays. Transportation Research Procedia, 17(December 2014), 513-520. https://doi.org/10.1016/j.trpro.2016.11.104
Go to original source...
- Blincoe, L., Miller, T. R., Zaloshnja, E., & Lawrence, B. A. (2014). The economic and societal impact of motor vehicle crashes, 2010. Motor Vehicle Crashes: Economic and Societal Impact, In Depth, 2015(May), 1-285.
- Brown, I. D. (1965). Effect of a car radio on driving in traffic. Ergonomics, 8(4), 475-479. https://doi.org/10.1080/00140136508930828
Go to original source...
- Brumfield, R. M., & Pulugurtha, S. S. (2011). Effect of driver cell phone use on queue discharge patterns at signalized intersections. Transportation Research Record, 2257, 71-79. https://doi.org/10.3141/2257-08
Go to original source...
- Çalişkanelli, S. P., Coşkun Atasever, F., & Tanyel, S. (2017). Start-up Lost Time and its Effect on Signalized Intersections in Turkey. PROMET - Traffic&Transportation, 29(3), 321-329. https://doi.org/10.7307/ptt.v29i3.2214
Go to original source...
- CDC. (2013). Leading causes of death reports, national and regional, 1999-2013. National Center for Injury Prevention and Control, Atlanta, GA.
- Choudhary, P., & Velaga, N. R. (2020). Impact of distraction on decision making at the onset of yellow signal. Transportation Research Part C: Emerging Technologies, 118(August), 102741. https://doi.org/10.1016/j.trc.2020.102741
Go to original source...
- Consiglio, W., Driscoll, P., Witte, M., & Berg, W. P. (2003). Effect of cellular telephone conversations and other potential interference on reaction time in a braking response. Accident Analysis and Prevention, 35(4), 495-500. https://doi.org/10.1016/S0001-4575(02)00027-1
Go to original source...
- 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. https://doi.org/10.1177/0018720809353319
Go to original source...
- FHWA. (2013). Signalized Intersections: Informational Guide, Publication No. FHWA-SA-13-027. Federal Highway Administration (FHWA). http://safety.fhwa.dot.gov/intersection/conventional/signalized/fhwasa13027/fhwasa13027.pdf
- GHSA. (2020). Distracted Driving Laws by State- Governors Highway Safety Association (GHSA). https://www.ghsa.org/state-laws/issues/distracted driving
- Goodman, M. J., Tijerina, L., Bents, F. D., & Wierwille, W. W. (1999). Using Cellular Telephones in Vehicles: Safe or Unsafe? Transportation Human Factors, 1(1), 3-42. https://doi.org/10.1207/sthf0101_2
Go to original source...
- Hadiuzzaman, M., Rahman, M., & Karim, M. A. (2008). Saturation Flow Model at Signalized Intersection for Non-lane Based Traffic. Canadian Journal of Transportation, 2(1), 77-90.
- Haque, M. M., & Washington, S. (2014). A parametric duration model of the reaction times of drivers distracted by mobile phone conversations. Accident Analysis and Prevention, 62, 42-53. https://doi.org/10.1016/j.aap.2013.09.010
Go to original source...
- Hashash, M., Abou Zeid, M., & Moacdieh, N. M. (2019). Social media browsing while driving: Effects on driver performance and attention allocation. Transportation Research Part F: Traffic Psychology and Behaviour, 63, 67-82. https://doi.org/10.1016/j.trf.2019.03.021
Go to original source...
- HCM. (2010). Highway Capacity Manual. Transportation Research Board, National Research Council, Washington, DC. https://www.trb.org/Main/Blurbs/164718.aspx
- HCM. (2016). Highway Capacity Manual, Sixth Edition: A Guide for Multimodal Mobility Analysis. Transportation Research Board,Washington, DC. https://www.trb.org/Main/Blurbs/175169.aspx
- Hurwitz, D. S., Heaslip, K. P., Schrock, S. D., Swake, J., Marnell, P., Tuss, H., & Fitzsimmons, E. (2013). Implications of Distracted Driving on Startup Lost Time for Dual Left Turn Lanes. Journal of Transportation Engineering., 139(9).
Go to original source...
- Huth, V., Sanchez, Y., & Brusque, C. (2015). Drivers' phone use at red traffic lights: A roadside observation study comparing calls and visual-manual interactions. Accident Analysis and Prevention, 74, 42-48. https://doi.org/10.1016/j.aap.2014.10.008
Go to original source...
- Irwin, C., Monement, S., & Desbrow, B. (2015). The Influence of Drinking, Texting, and Eating on Simulated Driving Performance. Traffic Injury Prevention, 16(2), 116-123. https://doi.org/10.1080/15389588.2014.920953
Go to original source...
- Koonce, P., Rodegerdts, L., Lee, K., Quayle, S., Beaird, S., Braud, C., Bonneson, J., Tarnoff, P., & Urbanik, T. (2008). Traffic Signal Timing Manual. Federal Highway Administration (FHWA).
- NHTSA. (2012). Visual-Manual NHTSA Driver Distraction Guidelines Devices, for In-Vehicle Electronic. In National Highway Traffic Safety Administration, Docket No. NHTSA-2010-0053. file:///C:/Users/jxb5105/Downloads/Distraction_NPFG-02162012.pdf
- NHTSA. (2019). Driver electronic device use in 2017 (Research Note. Report No. DOT HS 812 665). In National Highway Trafic Safety Administration. https://doi.org/10.1016/j.annemergmed.2012.03.003
Go to original source...
- NHTSA. (2021). Distracted driving 2019 (Research Note. Report No. DOT HS 813 111). In National Highway Trafic Safety Administration. https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/812381
- Papantoniou, P., Yannis, G., Antoniou, C., Papadimitriou, E., Pavlou, D., & Golias, J. (2016). Investigating the Effect of Area Type and Traffic Conditions on Distracted Driving Performance. Transportation Research Procedia, 14, 3839-3848. https://doi.org/10.1016/j.trpro.2016.05.469
Go to original source...
- Rachel, G., Mitchell, C., & Anna, C. (2019). Driver Distraction: A Review of Scientific Literature (Issue February). National Transport Commission.
- Rahman, Z., Martinez, D., Martinez, N., Zhang, Z., Memarian, A., Pulipati, S., Mattingly, S. P., & Rosenberger, J. M. (2018). Evaluation of cell phone induced driver behavior at a type II dilemma zone. Cogent Engineering, 5(1). https://doi.org/10.1080/23311916.2018.1436927
Go to original source...
- Rouphail, N., Tarko, A., & Jing, L. (2001). Traffic Flow at Signalized Intersections. Traffic-Flow Theory, 9-1-9-28. http://web.tongji.edu.cn/~yangdy/its/tft/chap9.pdf
- Roy, R., & Saha, P. (2018). Headway distribution models of two-lane roads under mixed traffic conditions: a case study from India. European transport research review, 10(1), 1-12.
Go to original source...
- Shawky, M., & Al-ghafli, A. (2016). Start-up delay Estimation at Signalized Intersections : Impact of Left-Turn Phasing Sequences. International Journal of Engineering and Applied Sciences, 3(11), 7-12. https://doi.org/10.1007/978-3-319-41682-3
Go to original source...
- Strayer, D. L., Drews, F. A., & Crouch, D. J. (2006). A comparison of the cell phone driver and the drunk driver. Human Factors, 48(2), 381-391. https://doi.org/10.1518/001872006777724471
Go to original source...
- Strayer, D. L., & Johnston, W. A. (2001). Driven to distraction: Dual-Task Studies of Simulated Driving and Conversing on a Cellular Telephone. Psychological Science, 12(6), 462-466. https://doi.org/10.1111/1467-9280.00386
Go to original source...
- Stutts, J. C., & Hunter, W. W. (2003). Driver inattention, driver distraction and traffic crashes. ITE Journal (Institute of Transportation Engineers), 73(7), 34-45.
- 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. Annual Proceedings / Association for the Advancement of Automotive Medicine. Association for the Advancement of Automotive Medicine, 45(May), 287-301.
Go to original source...
- Tefft, B. C. (2018). Reducing crash risk and improving traffic safety: research on driver behavior and performance. Institute of Transportation Engineers. ITE Journal, 88(8), 30-34.
- Teply, S., & Jones, A. M. (1991). SATURATION FLOW: DO WE SPEAK THE SAME LANGUAGE? Transportation Research Record. https://trid.trb.org/view/365597
- TxDOT (2019). Statewide Traffic Analysis and Reporting System. https://www.txdot.gov/inside-txdot/division/transportation-planning/stars.html
- Zhao, Y., Zhang, W., Lu, J., Zhang, W., & Ma, Y. (2015). Estimation of saturation flow rate and start-up lost time for signal timing based on headway distribution. Discrete Dynamics in Nature and Society, 2015. https://doi.org/10.1155/2015/304823
Go to original source...
- Zheng, J., Ma, X., Wu, Y. J., & Wang, Y. (2013). Measuring signalized intersection performance in real-time with traffic sensors. Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, 17(4), 304-316. https://doi.org/10.1080/15472450.2013.771105
Go to original source...
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