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Research Article

Identifying risky driving behavior: a field study using instrumented vehicles

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Received 04 Aug 2022, Accepted 24 Jun 2023, Published online: 28 Jul 2023

References

  • National Research Council (US). 2010. Highway Safety Manual. 1 ed. Washington D.C, USA: American Association of State Highway and Transportation Officials (AASHTO).
  • Abd Rahman, N. I., S. Z. Md Dawal, and N. Yusoff. 2020. “Driving Mental Workload and Performance of Ageing Drivers.” Transportation Research Part F, Traffic Psychology and Behaviour 69:265–285. https://doi.org/10.1016/j.trf.2020.01.019.
  • Af Wahlberg, A. 2000. “The Relation of Acceleration Force to Traffic Accident Frequency: A Pilot Study.” Transportation Research Part F 3 (1): 29–38. https://doi.org/10.1016/S1369-8478(00)00012-7.
  • Ahmed, M., H. Huang, M. Abdel-Aty, and B. Guevara. 2011. “Exploring a Bayesian Hierarchical Approach for Developing Safety Performance Functions for a Mountainous Freeway.” Accident Analysis & Prevention 43:1581–1589. https://doi.org/10.1016/j.aap.2011.03.021.
  • Albert, D. A., M. C. Ouimet, J. Jarret, M. S. Cloutier, M. Paquette, N. Badeau, and T. G. Brown. 2018. “Linking Mind Wandering Tendency to Risky Driving in Young Male Drivers.” Accident Analysis & Prevention 111:125–132. https://doi.org/10.1016/j.aap.2017.11.019.
  • Alrassy, P., A. W. Smyth, and J. Jang. 2023. “Driver Behavior Indices from Large-Scale Fleet Telematics Data as Surrogate Safety Measures.” Accident Analysis & Prevention 179:106879. https://doi.org/10.1016/j.aap.2022.106879.
  • Arbabzadeh, N., and M. Jafari. 2018. “A Data-Driven Approach for Driving Safety Risk Prediction Using Driver Behavior and Roadway Information Data.” IEEE Transactions on Intelligent Transportation Systems 19:446–460. https://doi.org/10.1109/TITS.2017.2700869.
  • Arvin, R., M. Kamrani, and A. J. Khattak. 2019. “The Role of Pre-Crash Driving Instability in Contributing to Crash Intensity Using Naturalistic Driving Data.” Accident Analysis & Prevention 132:105226. https://doi.org/10.1016/j.aap.2019.07.002.
  • Bagdadi, O. 2013. “Assessing Safety Critical Braking Events in Naturalistic Driving Studies.” Transportation Research Part F, Traffic Psychology and Behaviour 16:117–126. https://doi.org/10.1016/j.trf.2012.08.006.
  • Bagdadi, O., and A. Várhelyi. 2011. “Jerky Driving—An Indicator of Accident Proneness?” Accident Analysis & Prevention 43 (4): 1359–1363. https://doi.org/10.1016/j.aap.2011.02.009.
  • Bartrim, K., B. McCarthy, D. McCartney, G. Grant, B. Desbrow, and C. Irwin. 2020. “Three Consecutive Nights of Sleep Loss: Effects of Morning Caffeine Consumption on Subjective Sleepiness/Alertness, Reaction Time and Simulated Driving Performance.” Transportation Research Part F, Traffic Psychology and Behaviour 70:124–134. https://doi.org/10.1016/j.trf.2020.02.017.
  • Behbahani, H., N. Nadimi, and S. S. Naseralavi. 2015. “New Time-Based Surrogate Safety Measure to Assess Crash Risk in Car-Following Scenarios.” Transportation Letters: The International Journal of Transportation Research 7:229–238. https://doi.org/10.1179/1942787514Y.0000000051.
  • Bella, F., A. Calvi, and F. D’Amico. 2014. “Analysis of Driver Speeds Under Night Driving Conditions Using a Driving Simulator.” Journal of Safety Research 49:45–52. https://doi.org/10.1016/j.jsr.2014.02.007.
  • Cafiso, S., and G. Cava. 2009. “Driving Performance, Alignment Consistency, and Road Safety.” Transportation Research Record: Journal of the Transportation Research Board 2102:1–8. https://doi.org/10.3141/2102-01.
  • Cafiso, S., A. Di Graziano, G. Di Silvestro, G. La Cava, and B. Persaud. 2010. “Development of Comprehensive Accident Models for Two-Lane Rural Highways Using Exposure, Geometry, Consistency and Context Variables.” Accident Analysis & Prevention 42:1072–1079. https://doi.org/10.1016/j.aap.2009.12.015.
  • Cai, Q., M. Abdel-Aty, J. Yuan, J. Lee, and Y. Wu. 2020. “Real-Time Crash Prediction on Expressways Using Deep Generative Models.” Transportation Research Part C: Emerging Technologies 117:102697. https://doi.org/10.1016/j.trc.2020.102697.
  • Calvi, A., F. D’Amico, C. Ferrante, and L. Bianchini Ciampoli. 2020. “A Driving Simulator Study to Assess Driver Performance During a Car-Following Maneuver After Switching from Automated Control to Manual Control.” Transportation Research Part F, Traffic Psychology and Behaviour 70:58–67. https://doi.org/10.1016/j.trf.2020.02.014.
  • Campbell, K. L. 2012. “The SHRP 2 Naturalistic Driving Study.” TR News 282: Blueprints to Improve Highway Safety, Transportation Research Board of the National Academies. Accessed July 10 2022. https://onlinepubs.trb.org/onlinepubs/trnews/trnews282shrp2nds.pdf.
  • Caponecchia, C., and A. Williamson. 2018. “Drowsiness and Driving Performance on Commuter Trips.” Journal of Safety Research 66:179–186. https://doi.org/10.1016/j.jsr.2018.07.003.
  • Casutt, G., M. Martin, M. Keller, and L. Jäncke. 2014. “The Relation Between Performance in On-Road Driving, Cognitive Screening and Driving Simulator in Older Healthy Drivers.” Transportation Research Part F, Traffic Psychology and Behaviour 22:232–244. https://doi.org/10.1016/j.trf.2013.12.007.
  • Chang, S. H., C. Y. Lin, C. C. Hsu, C. P. Fung, and J. R. Hwang. 2009. “The Effect of a Collision Warning System on the Driving Performance of Young Drivers at Intersections.” Transportation Research Part F, Traffic Psychology and Behaviour 12:371–380. https://doi.org/10.1016/j.trf.2009.05.001.
  • Charly, A., and T. V. Mathew. 2019a. “Estimation of Traffic Conflicts Using Precise Lateral Position and Width of Vehicles for Safety Assessment.” Accident Analysis & Prevention 132:105264. https://doi.org/10.1016/j.aap.2019.105264.
  • Charly, A., and T. V. Mathew. 2019b. “Evaluation of Driving Performance in Relation to Safety on an Expressway Using Field Driving Data.” Transportation Letters 12 (5): 340–348. https://doi.org/10.1080/19427867.2019.1591075.
  • Chauhan, R., A. Dhamaniya, and S. Arkatkar. 2022. “Challenges in Rear-End Conflict-Based Safety Assessment of Highly Disordered Traffic Conditions.” Transportation Research Record: Journal of the Transportation Research Board 2677 (2): 624–634. https://doi.org/10.1177/03611981221108156.
  • Chin, H. C., and S. T. Quek. 1997. “Measurement of Traffic Conflicts.” Safety Science 26:169–185. https://doi.org/10.1016/S0925-7535(97)00041-6.
  • Choudhari, T., and A. Maji. 2019. “Socio-Demographic and Experience Factors Affecting drivers’ Runoff Risk Along Horizontal Curves of Two-Lane Rural Highway.” Journal of Safety Research 71:1–11. https://doi.org/10.1016/j.jsr.2019.09.013.
  • Choudhary, P., M. Imprialou, N. R. Velaga, and A. Choudhary. 2018. “Impacts of Speed Variations on Freeway Crashes by Severity and Vehicle Type.” Accident Analysis & Prevention 121:213–222. https://doi.org/10.1016/j.aap.2018.09.015.
  • Choudhary, P., and N. R. Velaga. 2017a. “Analysis of Vehicle-Based Lateral Performance Measures During Distracted Driving Due to Phone Use.” Transportation Research Part F: Psychology and Behaviour 44:120–133. https://doi.org/10.1016/j.trf.2016.11.002.
  • Choudhary, P., and N. R. Velaga. 2017b. “Mobile Phone Use During Driving: Effects on Speed and Effectiveness of Driver Compensatory Behaviour.” Accident Analysis & Prevention 106:370–378. https://doi.org/10.1016/j.aap.2017.06.021.
  • Choudhary, P., and N. R. Velaga. 2019. “Effects of Phone Use on Driving Performance: A Comparative Analysis of Young and Professional Drivers.” Safety Science 111:179–187. https://doi.org/10.1016/j.ssci.2018.07.009.
  • Crisler, M., J. Brooks, J. Ogle, C. Guirl, P. Alluri, and K. Dixon. 2008. “Effect of Wireless Communication and Entertainment Devices on Simulated Driving Performance.” Transportation Research Record: Journal of the Transportation Research Board 2069:48–54. https://doi.org/10.3141/2069-07.
  • Dogan, E., V. Honnêt, S. Masfrand, and A. Guillaume. 2019. “Effects of Non-Driving-Related Tasks on Takeover Performance in Different Takeover Situations in Conditionally Automated Driving.” Transportation Research Part F, Traffic Psychology and Behaviour 62:494–504. https://doi.org/10.1016/j.trf.2019.02.010.
  • Guo, M., X. Zhao, Y. Yao, C. Bi, and Y. Su. 2022. “Application of Risky Driving Behavior in Crash Detection and Analysis.” Physica A Statistical Mechanics & Its Applications 591:126808. https://doi.org/10.1016/j.physa.2021.126808.
  • Gupta, A., P. Choudhary, and M. Parida. 2021. “Understanding and Modelling Risky Driving Behaviour on High-Speed Corridors.” Transportation Research Part F, Traffic Psychology and Behaviour 82:359–377. https://doi.org/10.1016/j.trf.2021.09.009.
  • Hallmark, S. L., S. Tyner, N. Oneyear, C. Carney, and D. McGehee. 2015. “Evaluation of Driving Behavior on Rural 2-Lane Curves Using the SHRP 2 Naturalistic Driving Study Data.” Journal of Safety Research 54:17.e1–27. https://doi.org/10.1016/j.jsr.2015.06.017.
  • IRC 2013. “IRC: SP: 99-2013: Manual of Specifications and Standards for Expressways.”
  • Jacob, A., and M. V. L. R. Anjaneyulu. 2013. “Operating Speed of Different Classes of Vehicles at Horizontal Curves on Two-Lane Rural Highways.” Journal of Transportation Engineering 139:287–294. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000503.
  • JP Research 2014. Mumbai Pune Expressway Road Accident Study. Technical Report JP Research India Pvt. Ltd, Pune, India.
  • Knapper, A. S., M. P. Hagenzieker, and K. A. Brookhuis. 2015. “Do In-Car Devices Affect Experienced Users’ Driving Performance?” IATSS Research 39 (1): 72–78. https://doi.org/10.1016/j.iatssr.2014.10.002.
  • Kononov, J., B. Bailey, and B. K. Allery. 2008. “Exploratory Examination of the Functional Form of Safety Performance Functions of Urban Freeways.“ Transportation Research Board Annual Meeting, January 2008, Transportation Research Board, Washington DC, 1–19. https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=4bd119782d3581c721259a77d9c426c134fc22be.
  • Kuang, Y., X. Qu, and S. Wang. 2015. “A Tree-Structured Crash Surrogate Measure for Freeways.” Accident Analysis & Prevention 77:137–148. https://doi.org/10.1016/j.aap.2015.02.007.
  • Lazuras, L., R. Rowe, A. Ypsilanti, I. Smythe, D. Poulter, and J. Reidy. 2022. “Driving Self-Regulation and Risky Driving Outcomes.” Transportation Research Part F, Traffic Psychology and Behaviour 91:461–471. https://doi.org/10.1016/j.trf.2022.10.027.
  • Li, Y. C., N. N. Sze, S. C. Wong, W. Yan, K. L. Tsui, and F. L. So. 2016. “A Simulation Study of the Effects of Alcohol on Driving Performance in a Chinese Population.” Accident Analysis & Prevention 95:334–342. https://doi.org/10.1016/j.aap.2016.01.010.
  • Love, S., L. Kannis-Dymand, J. Davey, and J. Freeman. 2022. “Risky Driving and Lapses on the Road: An Exploration on Self-Regulatory Dysfunction in Australian Drivers.” Transportation Research Part F, Traffic Psychology and Behaviour 88:25–36. https://doi.org/10.1016/j.trf.2022.05.006.
  • Love, S., V. Truelove, B. Rowland, L. Kannis-Dymand, and J. Davey. 2022. “Is All High-Risk Behaviour Premeditated? A Qualitative Exploratory Approach to the Self-Regulation of Habitual and Risky Driving Behaviours.” Transportation Research Part F, Traffic Psychology and Behaviour 90:312–325. https://doi.org/10.1016/j.trf.2022.09.002.
  • Lu, J., O. Grembek, and M. Hansen. 2022. “Learning the Representation of Surrogate Safety Measures to Identify Traffic Conflict.” Accident Analysis & Prevention 174:106755. https://doi.org/10.1016/j.aap.2022.106755.
  • Lu, C., X. He, H. van Lint, H. Tu, R. Happee, and M. Wang. 2021. “Performance Evaluation of Surrogate Measures of Safety with Naturalistic Driving Data.” Accident Analysis & Prevention 162:106403. https://doi.org/10.1016/j.aap.2021.106403.
  • Luk, J. W., R. S. Trim, K. A. Karyadi, I. Curry, C. J. Hopfer, J. K. Hewitt, M. C. Stallings, S. A. Brown, and T. L. Wall. 2017. “Unique and Interactive Effects of Impulsivity Facets on Reckless Driving and Driving Under the Influence in a High-Risk Young Adult Sample.” Personality & Individual Differences 114:42–47. https://doi.org/10.1016/j.paid.2017.03.048.
  • Lyu, N., C. Deng, L. Xie, C. Wu, and Z. Duan. 2019. “A Field Operational Test in China: Exploring the Effect of an Advanced Driver Assistance System on Driving Performance and Braking Behavior.” Transportation Research Part F, Traffic Psychology and Behaviour 65:730–747. https://doi.org/10.1016/j.trf.2018.01.003.
  • Matthews, R. W., S. A. Ferguson, X. Zhou, A. Kosmadopoulos, D. J. Kennaway, and G. D. Roach. 2012. “Simulated Driving Under the Influence of Extended Wake, Time of Day and Sleep Restriction.” Accident Analysis & Prevention 45:55–61. https://doi.org/10.1016/j.aap.2011.09.027.
  • Merat, N., F. Lai, and S. L. Jamson. 2011. “The Comparative Merits of Expert Observation, Subjective and Objective Data in Determining the Effects of In-Vehicle Information Systems on Driving Performance.” Safety Science 49:172–177. https://doi.org/10.1016/j.ssci.2010.07.005.
  • Misaghi, P., and Y. Hassan. 2005. “Modeling Operating Speed and Speed Differential on Two-Lane Rural Roads.” Journal of Transportation Engineering 131:408–418. https://doi.org/10.1061/(ASCE)0733-947X(2005)131:6(408).
  • Moreno, A. T., and A. García. 2013. “Use of Speed Profile as Surrogate Measure: Effect of Traffic Calming Devices on Crosstown Road Safety Performance.” Accident Analysis & Prevention 61:23–32. https://doi.org/10.1016/j.aap.2012.10.013.
  • Mullakkal-Babu, F. A., M. Wang, H. Farah, B. van Arem, and R. Happee. 2017. “Comparative Assessment of Safety Indicators for Vehicle Trajectories on Highways.” Transportation Research Record 2659 (1): 127–136. https://doi.org/10.3141/2659-14.
  • Pande, A., S. Chand, N. Saxena, V. Dixit, J. Loy, B. Wolshon, and J. D. Kent. 2017. “A Preliminary Investigation of the Relationships Between Historical Crash and Naturalistic Driving.” Accident Analysis & Prevention 101:107–116. https://doi.org/10.1016/j.aap.2017.01.023.
  • Papadakaki, M., G. Tzamalouka, C. Gnardellis, T. J. Lajunen, and J. Chliaoutakis. 2016. “Driving Performance While Using a Mobile Phone: A Simulation Study of Greek Professional Drivers.” Transportation Research Part F, Traffic Psychology and Behaviour 38:164–170. https://doi.org/10.1016/j.trf.2016.02.006.
  • Paredes, J. J., S. F. Yepes, R. Salazar-Cabrera, Á. Pachón de la Cruz, and J. M. Madrid Molina. 2022. “Intelligent Collision Risk Detection in Medium-Sized Cities of Developing Countries, Using Naturalistic Driving: A Review.” Journal of Traffic & Transportation Engineering 9 (6): 912–929. https://doi.org/10.1016/j.jtte.2022.07.003.
  • Pavlou, D., I. Beratis, E. Papadimitriou, C. Antoniou, G. Yannis, and S. Papageorgiou. 2016. “Which are the Critical Measures to Assess the Driving Performance of Drivers with Brain Pathologies?” Transportation Research Procedia 14:4393–4402. https://doi.org/10.1016/j.trpro.2016.05.361.
  • Pawar, N. M., R. K. Khanuja, P. Choudhary, and N. R. Velaga. 2020. “Modelling Braking Behaviour and Accident Probability of Drivers Under Increasing Time Pressure Conditions.” Accident Analysis & Prevention 136:105401. https://doi.org/10.1016/j.aap.2019.105401.
  • Pawar, N. M., and N. R. Velaga. 2021. “Investigating the Influence of Time Pressure on Overtaking Maneuvers and Crash Risk.” Transportation Research Part F, Traffic Psychology and Behaviour 82:268–284. https://doi.org/10.1016/j.trf.2021.08.017.
  • Polus, A., and C. Mattar-Habib. 2004. “New Consistency Model for Rural Highways and Its Relationship to Safety.” Journal of Transportation Engineering 130:286–293. https://doi.org/10.1061/(ASCE)0733-947X(2004)130:3(286).
  • Precht, L., A. Keinath, and J. F. Krems. 2017. “Effects of Driving Anger on Driver Behavior: Results from Naturalistic Driving Data.” Transportation Research Part F, Traffic Psychology and Behaviour 45:75–92. https://doi.org/10.1016/j.trf.2016.10.019.
  • Racelogic Ltd. 2018. Video VBOX User Manual. Technical Report Racelogic Buckingham, England.
  • Reimer, B., B. Mehler, J. F. Coughlin, N. Roy, and J. A. Dusek. 2011. “The Impact of a Naturalistic Hands-Free Cellular Phone Task on Heart Rate and Simulated Driving Performance in Two Age Groups.” Transportation Research Part F, Traffic Psychology and Behaviour 14:13–25. https://doi.org/10.1016/j.trf.2010.09.002.
  • Shekhar Babu, S., and P. Vedagiri. 2016. “Proactive Safety Evaluation of a Multilane Unsignalized Intersection Using Surrogate Measures.” Transportation Letters 7867 (2): 104–112. https://doi.org/10.1080/19427867.2016.1230172.
  • Tarko, A., G. Davis, N. Saunier, T. Sayed, and S. Washington 2009. “White Paper: Surrogate Measures of Safety.” Committee on Safety Data Evaluation and Analysis (ANB 20), Transportation Research Board, (pp. 1–13).
  • Toledo, T., and T. Lotan. 2006. “In-Vehicle Data Recorder for Evaluation of Driving Behavior and Safety.” Transportation Research Record 1953 (1): 112–119. https://doi.org/10.3141/1953-13.
  • Vedagiri, P., and D. V. Killi. 2015. “Traffic Safety Evaluation of Uncontrolled Intersections Using Surrogate Safety Measures Under Mixed Traffic Conditions.” Transportation Research Record: Journal of the Transportation Research Board 2512:81–89. https://doi.org/10.3141/2512-10.
  • Venkataraman, N. S., G. F. Ulfarsson, and V. N. Shankar. 2014. “Extending the Highway Safety Manual (HSM) Framework for Traffic Safety Performance Evaluation.” Safety Science 64:146–154. https://doi.org/10.1016/j.ssci.2013.12.001.
  • Voß, G. M., C. M. Keck, and M. Schwalm. 2018. “Investigation of Drivers’ Thresholds of a Subjectively Accepted Driving Performance with a Focus on Automated Driving.” Transportation Research Part F, Traffic Psychology and Behaviour 56:280–292. https://doi.org/10.1016/j.trf.2018.04.024.
  • Wang, L., Y. Wang, L. Shi, and H. Xu. 2022. “Analysis of Risky Driving Behaviors Among Bus Drivers in China: The Role of Enterprise Management, External Environment and Attitudes Towards Traffic Safety.” Accident Analysis & Prevention 168:106589. https://doi.org/10.1016/j.aap.2022.106589.
  • Wu, K. F., J. Aguero-Valverde, and P. P. Jovanis. 2014. “Using Naturalistic Driving Data to Explore the Association Between Traffic Safety-Related Events and Crash Risk at Driver Level.” Accident Analysis & Prevention 72:210–218. https://doi.org/10.1016/j.aap.2014.07.005.
  • Wu, K. F., and P. P. Jovanis. 2012. “Crashes and Crash-Surrogate Events: Exploratory Modeling with Naturalistic Driving Data.” Accident Analysis & Prevention 45:507–516. https://doi.org/10.1016/j.aap.2011.09.002.
  • Wu, J., X. Yan, and E. Radwan. 2016. “Discrepancy Analysis of Driving Performance of Taxi Drivers and Non-Professional Drivers for Red-Light Running Violation and Crash Avoidance at Intersections.” Accident Analysis & Prevention 91:1–9. https://doi.org/10.1016/j.aap.2016.02.028.
  • Yadav, A. K., and N. R. Velaga. 2019. “Effect of Alcohol Use on Accelerating and Braking Behaviors of Drivers.” Traffic Injury Prevention 20:353–358. https://doi.org/10.1080/15389588.2019.1587167.
  • Yu, Z., W. Qu, and Y. Ge. 2022. “Trait Anger Causes Risky Driving Behavior by Influencing Executive Function and Hazard Cognition.” Accident Analysis & Prevention 177:106824. https://doi.org/10.1016/j.aap.2022.106824.
  • Zhang, T., A. H. Chan, Y. Ba, and W. Zhang. 2016a. “Situational Driving Anger, Driving Performance and Allocation of Visual Attention.” Transportation Research Part F, Traffic Psychology and Behaviour 42:376–388. https://doi.org/10.1016/j.trf.2015.05.008.
  • Zhang, T., A. H. Chan, Y. Ba, and W. Zhang. 2016b. “Situational Driving Anger, Driving Performance and Allocation of Visual Attention.” Transportation Research Part F, Traffic Psychology and Behaviour 42:376–388. https://doi.org/10.1016/j.trf.2015.05.008/.
  • Zhang, Q., W. Qu, Y. Ge, X. Sun, and K. Zhang. 2020. “The Effect of the Emotional State on Driving Performance in a Simulated Car-Following Task.” Transportation Research Part F, Traffic Psychology and Behaviour 69:349–361. https://doi.org/10.1016/j.trf.2020.02.004.
  • Zhang, H., X. Yan, C. Wu, and T. Qiu. 2014. “Effect of Circadian Rhythms and Driving Duration on Fatigue Level and Driving Performance of Professional Drivers.” Transportation Research Record: Journal of the Transportation Research Board 2402:19–27. https://doi.org/10.3141/2402-03.
  • Ziakopoulos, A., A. Kontaxi, and G. Yannis. 2023. “Analysis of Mobile Phone Use Engagement During Naturalistic Driving Through Explainable Imbalanced Machine Learning.” Accident Analysis & Prevention 181 (106936). https://doi.org/10.1016/j.aap.2022.106936.