Impact assessment of professional drivers’ speed compliance and speed adaptation with posted speed limits in different driving environments and driving conditions

References

• Alavi, H., S. Keleher, and M. Nieuwesteeg, 2014. Quantifying the Contribution of Low-Level Speeding to Trauma in Victoria. Australasian road safety research, policing and education conference 2014, Melbourne, Victoria, Australia
   Google Scholar
• Alkheder, S. 2017. “Learning from the Past: Traffic Safety in the Eyes of Affected Local Community in Abu Dhabi City, United Arab Emirates.” Transportation Letters 9 (1): 20–38. https://doi.org/10.1080/19427867.2015.1133040.
   Google Scholar
• Bains, M. S., A. Bhardwaj, S. Arkatkar, and S. Velmurugan. 2013. “Effect of Speed Limit Compliance on Roadway Capacity of Indian Expressways.” Procedia – Social and Behavioral Science 104:458–467. https://doi.org/10.1016/j.sbspro.2013.11.139.
   Google Scholar
• Branzi, V., L. Domenichini, and F. Torre La. 2017. “Drivers’ Speed Behaviour in Real and Simulated Urban Roads – a Validation Study.” Transportation Research Part F, Traffic Psychology and Behaviour 49:1–17. https://doi.org/10.1016/j.trf.2017.06.001.
   Google Scholar
• Brookhuis, K. A., C. J. G. van Driel, T. Hof, B. van Arem, and M. Hoedemaeker. 2009. “Driving with a Congestion Assistant; Mental Workload and Acceptance.” Applied Ergonomics 40 (6): 1019–1025. https://doi.org/10.1016/j.apergo.2008.06.010.
   Google Scholar
• Cantin, V., M. Lavallière, M. Simoneau, and N. Teasdale. 2009. “Mental Workload When Driving in a Simulator: Effects of Age and Driving Complexity.” Accident; Analysis and Prevention 41 (4): 763–771. https://doi.org/10.1016/j.aap.2009.03.019.
   Google Scholar
• Carsten, O. 2012. “Is Intelligent Speed Adaptation Ready for Deployment? Accid.” Accident Analysis & Prevention 48:1–3. https://doi.org/10.1016/j.aap.2012.05.012.
   Google Scholar
• Charly, A., and T. V. Mathew. 2020. “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.
   Google Scholar
• Chen, T., N. N. Sze, S. Saxena, A. R. Pinjari, C. R. Bhat, and L. Bai. 2020. “Evaluation of Penalty and Enforcement Strategies to Combat Speeding Offences Among Professional Drivers: A Hong Kong Stated Preference Experiment.” Accident Analysis & Prevention 135 (August 2019): 105366. https://doi.org/10.1016/j.aap.2019.105366.
   Google Scholar
• Chorlton, K., and M. Conner. 2012. “Can Enforced Behaviour Change Attitudes?: Exploring the Influence of Intelligent Speed Adaptation.” Accident; Analysis and Prevention 48:49–56. https://doi.org/10.1016/j.aap.2010.06.007.
   Google Scholar
• CRRI. 2017. Indian- Highway Capacity Manual. Council of Scientific and Industrial Research (CSIR). https://crridom.gov.in/sites/default/files/files/Indo-HCM%20Snippets.pdf
   Google Scholar
• Fitzpatrick, C. D., S. Samuel, and M. A. Knodler. 2017. “The Use of a Driving Simulator to Determine How Time Pressures Impact Driver Aggressiveness.” Accident Analysis & Prevention 108 (August): 131–138. https://doi.org/10.1016/j.aap.2017.08.017.
   Google Scholar
• Gray, R., and D. M. Regan. 2005. “Perceptual Processes Used by Drivers During Overtaking in a Driving Simulator.” Human Factors 47 (2): 394–417. https://doi.org/10.1518/0018720054679443.
   Google Scholar
• Gupta, M., N. M. Pawar, and N. R. Velaga. 2021. “Impact of Lockdown and Change in Mobility Patterns on Road Fatalities During COVID-19 Pandemic.” Transportation Letters 13 (5–6): 447–460. https://doi.org/10.1080/19427867.2021.1892937.
   Google Scholar
• Gupta, M., N. M. Pawar, N. R. Velaga, and S. Mishra. 2022. “Modelling Distraction Tendency of Motorized Two-Wheeler Drivers in Time Pressure Situations.” Safety Science 154:105820. https://doi.org/10.1016/j.ssci.2022.105820.
   Google Scholar
• Hellinga, B., and M. Mandelzys. 2011. “Impact of Driver Compliance on the Safety and Operational Impacts of Freeway Variable Speed Limit Systems.” Journal of Transportation Engineering / American Society of Civil Engineers 137 (4): 260–268. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000214.
   Google Scholar
• Hidayati, N., R. Liu, and F. Montgomery. 2012. “The Impact of School Safety Zone and Roadside Activities on Speed Behaviour: The Indonesian Case.” Procedia – Social and Behavioral Science 54:1339–1349. https://doi.org/10.1016/j.sbspro.2012.09.848.
   Google Scholar
• Kumar, P., M. S. Bains, N. Bharadwaj, S. Arkatkar, and G. Joshi. 2020. “Impact Assessment of Driver Speed Limit Compliance Behavior on Macroscopic Traffic Characteristics Under Heterogeneous Traffic Environment.” Transportation Letters 12 (1): 54–65. https://doi.org/10.1080/19427867.2018.1512200.
   Google Scholar
• Lai, F., and O. Carsten. 2012. “What Benefit Does Intelligent Speed Adaptation Deliver? - a Close Examination of Its Effect on Vehicle Speeds.” Accident; Analysis and Prevention 48:4–9. https://doi.org/10.1016/j.aap.2010.01.002.
   Google Scholar
• Lee, C., and M. Abdel-Aty. 2008. “Testing Effects of Warning Messages and Variable Speed Limits on Driver Behavior Using Driving Simulator.” Journal of the Transportation Research Board 2069 (1): 55–64. https://doi.org/10.3141/2069-08.
   Google Scholar
• Lee, Y. M., S. Y. Chong, K. Goonting, and E. Sheppard. 2017. “The Effect of Speed Limit Credibility on drivers’ Speed Choice.” Transportation Research Part F, Traffic Psychology and Behaviour 45:43–53. https://doi.org/10.1016/j.trf.2016.11.011.
   Google Scholar
• Li, X., O. Oviedo-Trespalacios, A. Rakotonirainy, and X. Yan. 2019. “Collision Risk Management of Cognitively Distracted Drivers in a Car-Following Situation.” Transportation Research Part F, Traffic Psychology and Behaviour 60:288–298. https://doi.org/10.1016/j.trf.2018.10.011.
   Google Scholar
• Mackay, N. L., L. L. Knight, and N. Leal, 2013. Driving Attitudes and Risk Perceptions of High-Frequency Speeders: Results of a Community Attitudes Survey. Australasian road safety research, policing and education conference 2013, Brisbane, Queensland, Australia
   Google Scholar
• Mahajan, K., and N. R. Velaga. 2022. “Effects of Partial Sleep Deprivation: Speed Management Ability and Associated Crash Risk.” Transportation Letters 15 (6): 527–536. https://doi.org/10.1080/19427867.2022.2071533.
   Google Scholar
• Maji, A., N. R. Velaga, and Y. Urie. 2018. “Hierarchical Clustering Analysis Framework of Mutually Exclusive Crash Causation Parameters for Regional Road Safety Strategies.” International Journal of Injury Control and Safety Promotion 25 (3): 257–271. https://doi.org/10.1080/17457300.2017.1416485.
   Google Scholar
• Mallia, L., L. Lazuras, C. Violani, and F. Lucidi. 2015. “Crash Risk and Aberrant Driving Behaviors Among Bus Drivers: The Role of Personality and Attitudes Towards Traffic Safety.” Accident; Analysis and Prevention 79:145–151. https://doi.org/10.1016/j.aap.2015.03.034.
   Google Scholar
• Mannering, F. L., V. Shankar, and C. R. Bhat. 2016. “Unobserved Heterogeneity and the Statistical Analysis of Highway Accident Data. Anal. Methods Accid.” Analytic Methods in Accident Research 11:1–16. https://doi.org/10.1016/j.amar.2016.04.001.
   Google Scholar
• Matowicki, M., and O. Pribyl. 2021. “A Driving Simulation Study on Drivers Speed Compliance with Respect to Variable Message Signs.” Journal of Intelligent Transportation Systems (0): 1–15. https://doi.org/10.1080/15472450.2021.1926247.
   Google Scholar
• Melman, T., D. A. Abbink, M. M. van Paassen, E. R. Boer, and J. C. F. de Winter. 2018. “What Determines drivers’ Speed? A Replication of Three Behavioural Adaptation Experiments in a Single Driving Simulator Study.” Ergonomics 61 (7): 966–987. https://doi.org/10.1080/00140139.2018.1426790.
   Google Scholar
• Ministry of Youth Affairs and Sports. 2017. “Youth Development Index and Report 2017.” Rajiv Gandhi National Institute of Youth Development 1–451.
   Google Scholar
• Mishra, S., and X. Zhu. 2015. “Corrections of Self-Selection Bias in Crash Causality Study: An Application on All-Red Signal Control.” Journal of Transportation Safety & Security 7 (2): 107–123. https://doi.org/10.1080/19439962.2014.929603.
   Google Scholar
• Obuon, J. A., 2022. What is Intelligent Speed Assist (ISA) & How Does It Work? [WWW Document]. Electr. Veh. URL https://www.makeuseof.com/what-is-intelligent-speed-assist-isa-how-does-it-work/ ( accessed 6.27.23).
   Google Scholar
• Osman, M., S. Mishra, K. Dey, S. El Said, and D. Thapa. 2022. “Analysis of Roadway Segment Vulnerability and Risk Factors for Crashes While Driving in the Wrong Direction.” Journal of Transportation Engineering, Part A: Systems 148 (8): 1–9. https://doi.org/10.1061/jtepbs.0000695.
   Google Scholar
• Oviedo-Trespalacios, O., M. M. Haque, M. King, and S. Washington. 2017a. “Effects of Road Infrastructure and Traffic Complexity in Speed Adaptation Behaviour of Distracted Drivers.” Accident; Analysis and Prevention 101:67–77. https://doi.org/10.1016/j.aap.2017.01.018.
   Google Scholar
• Oviedo-Trespalacios, O., M. M. Haque, M. King, and S. Washington. 2017b. “Self-Regulation of Driving Speed Among Distracted Drivers: An Application of Driver Behavioral Adaptation Theory.” Traffic Injury Prevention 18 (6): 599–605. https://doi.org/10.1080/15389588.2017.1278628.
   Google Scholar
• Pawar, N. M., N. Gore, and S. Arkatkar. 2022. “Examining Crossing Conflicts by Vehicle Type at Unsignalized T-Intersections Using Accepted Gaps: A Perspective from Emerging Countries.” Journal of Transportation Engineering, Part A: Systems 148 (6): 1–15. https://doi.org/10.1061/jtepbs.0000665.
   Google Scholar
• 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 and Prevention 136:105401. https://doi.org/10.1016/j.aap.2019.105401.
   Google Scholar
• Pawar, D. S., and G. R. Patil. 2017. “Minor-Street Vehicle Dilemma While Maneuvering at Unsignalized Intersections.” Journal of Transportation Engineering, Part A: Systems 143 (8): 04017039. https://doi.org/10.1061/JTEPBS.0000066.
   Google Scholar
• Pawar, N. M., and N. R. Velaga. 2020. “Modelling the Influence of Time Pressure on Reaction Time of Drivers.” Transportation Research Part F, Traffic Psychology and Behaviour 72:1–22. https://doi.org/10.1016/j.trf.2020.04.017.
   Google Scholar
• 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.
   Google Scholar
• Pawar, N. M., and N. R. Velaga. 2022. “Analyzing the Impact of Time Pressure on drivers’ Safety by Assessing Gap-Acceptance Behavior at Un-Signalized Intersections.” Safety Science 147 (March 2021): 105582. https://doi.org/10.1016/j.ssci.2021.105582.
   Google Scholar
• Pawar, N. M., N. R. Velaga, and S. Mishra. 2022. “Impact of Time Pressure on Acceleration Behavior and Crossing Decision at the Onset of Yellow Signal.” Transportation Research Part F, Traffic Psychology and Behaviour 87:1–18. https://doi.org/10.1016/j.trf.2022.03.014.
   Google Scholar
• Pawar, N. M., N. R. Velaga, and R. B. Sharmila. 2022. “Exploring Behavioral Validity of Driving Simulator Under Time Pressure Driving Conditions of Professional Drivers.” Transportation Research Part F, Traffic Psychology and Behaviour 89:29–52. https://doi.org/10.1016/j.trf.2022.06.004.
   Google Scholar
• Pawar, N. M., A. K. Yadav, and N. R. Velaga. 2022. “A Comparative Assessment of Subjective Experience in Simulator and On-Road Driving Under Normal and Time Pressure Driving Conditions.” International Journal of Injury Control and Safety Promotion 30 (1): 116–131. https://doi.org/10.1080/17457300.2022.2114091.
   Google Scholar
• Paxion, J., E. Galy, and C. Berthelon. 2014. “Mental Workload and Driving.” Frontiers in Psychology 5:1–11. https://doi.org/10.3389/fpsyg.2014.01344.
   Google Scholar
• Reddy, S. K. A., A. Chepuri, and S. S. Arkatkar. 2019. “Developing Proximal Safety Indicators for Assessment of Un-Signalized Intersection – a Case Study in Surat City.” Transportation Letters 1–13. https://doi.org/10.1080/19427867.2019.1589162.
   Google Scholar
• Rendon-Velez, E., P. M. van Leeuwen, R. Happee, I. Horváth, W. F. van der Vegte, and J. C. F. de Winter. 2016. “The Effects of Time Pressure on Driver Performance and Physiological Activity: A Driving Simulator Study.” Transportation Research Part F, Traffic Psychology and Behaviour 41:150–169. https://doi.org/10.1016/j.trf.2016.06.013.
   Google Scholar
• Rendon-Velez, E., I. H. Vegte, and W. W. F. Der van. 2012. “A Pilot Study to Investigate Time Pressure as a Surrogate of Being in Haste.” Proceedings Ninth International Symposium on Tools and Methods of Competitive Engineering 393–406.
   Google Scholar
• Rosenbloom, T., and A. Shahar. 2007. “Differences Between Taxi and Nonprofessional Male Drivers in Attitudes Towards Traffic-Violation Penalties.” Transportation Research Part F, Traffic Psychology and Behaviour 10 (5): 428–435. https://doi.org/10.1016/j.trf.2007.04.002.
   Google Scholar
• Salini, S., and R. Ashalatha. 2020. “Analysis of Traffic Characteristics of Urban Roads Under the Influence of Roadside Frictions.” Case Studies on Transport Policy 8 (1): 94–100. https://doi.org/10.1016/j.cstp.2018.06.008.
   Google Scholar
• Salini, S., S. George, and R. Ashalatha. 2016. “Effect of Side Frictions on Traffic Characteristics of Urban Arterials.” Transportation Research Procedia 17:636–643. https://doi.org/10.1016/j.trpro.2016.11.118.
   Google Scholar
• Salminen, S., and E. Lähdeniemi. 2002. “Risk Factors in Work-Related Traffic. Transp. Res. Part F Traffic Psychol.” Transportation Research Part F, Traffic Psychology and Behaviour 5 (1): 77–86. https://doi.org/10.1016/S1369-8478(02)00007-4.
   Google Scholar
• Spyropoulou, I. K., M. G. Karlaftis, and N. Reed. 2014. “Intelligent Speed Adaptation and Driving Speed: Effects of Different System HMI Functionalities.” Transportation Research Part F, Traffic Psychology and Behaviour 24:39–49. https://doi.org/10.1016/j.trf.2014.02.008.
   Google Scholar
• Stephens, A. N., M. Nieuwesteeg, J. Page-Smith, and M. Fitzharris. 2017. “Self-Reported Speed Compliance and Attitudes Towards Speeding in a Representative Sample of Drivers in Australia.” Accident Analysis & Prevention 103 (June 2016): 56–64. https://doi.org/10.1016/j.aap.2017.03.020.
   Google Scholar
• Steptoe, A., J. Wardle, W. Cui, F. Bellisle, A.-M. Zotti, R. Baranyai, and R. Sanderman. 2002. “Trends in Smoking, Diet, Physical Exercise, and Attitudes Toward Health in European University Students from 13 Countries, 1990–2000.” Preventive Medicine 35 (2): 97–104. https://doi.org/10.1006/pmed.2002.1048.
   Google Scholar
• Strawderman, L., Y. Huang, and T. Garrison. 2013. “The Effect of Design and Placement of Work-Zone Warning Signs on Driver Speed Compliance: A Simulator-Based Study.” IIE Transactions on Occupational Ergonomics and Human Factors 1 (1): 66–75. https://doi.org/10.1080/21577323.2012.714839.
   Google Scholar
• Transport for New South Wales, 2021. Intelligent Speed Adaptation [WWW Document]. Accessed July 25, 2022. https://roadsafety.transport.nsw.gov.au/research/roadsafetytechnology/isa/index.html.
   Google Scholar
• Urie, Y., Velaga, N.R., Maji, A., 2016. Cross-Sectional Study of Road Accidents and Related Law Enforcement Efficiency for 10 Countries: A Gap Coherence Analysis. Traffic Injury Prevention. 17 7, 686–691. https://doi.org/10.1080/15389588.2016.1146823
   Google Scholar
• Wang, Y., L. Li, L. Feng, and H. Peng. 2014. “Professional Drivers ’ Views on Risky Driving Behaviors and Accident Liability: A Questionnaire Survey in Xining, China.” Transportation Letters 6 (3): 126–135. https://doi.org/10.1179/1942787514Y.0000000019.
   Google Scholar
• Yadav, A. K., R. K. Khanuja, and N. R. Velaga. 2020. “Gender Differences in Driving Control of Young Alcohol-Impaired Drivers.” Drug & Alcohol Dependence 213 (October 2019): 108075. https://doi.org/10.1016/j.drugalcdep.2020.108075.
   Google Scholar
• Yadav, A. K., and N. R. Velaga. 2021. “Investigating the Effects of Driving Environment and Driver Characteristics on drivers’ Compliance with Speed Limits.” Traffic Injury Prevention 22 (3): 201–206. https://doi.org/10.1080/15389588.2021.1893699.
   Google Scholar
• Yang, G., M. M. Ahmed, and S. Gaweesh. 2019. “Impact of Variable Speed Limit in a Connected Vehicle Environment on Truck Driver Behavior Under Adverse Weather Conditions: Driving Simulator Study.” Transportation Research Record 2673 (7): 132–142. https://doi.org/10.1177/0361198119842111.
   Google Scholar
• Yao, Y., O. Carsten, and D. Hibberd. 2020. “A Close Examination of Speed Limit Credibility and Compliance on UK Roads.” IATSS Research 44 (1): 17–29. https://doi.org/10.1016/j.iatssr.2019.05.003.
   Google Scholar
• Yao, Y., O. Carsten, D. Hibberd, and P. Li. 2019. “Exploring the Relationship Between Risk Perception, Speed Limit Credibility and Speed Limit Compliance.” Transportation Research Part F, Traffic Psychology and Behaviour 62:575–586. https://doi.org/10.1016/j.trf.2019.02.012.
   Google Scholar
• Young, K. L., M. A. Regan, T. J. Triggs, K. Jontof-Hutter, and S. Newstead. 2010. “Intelligent Speed Adaptation-Effects and Acceptance by Young Inexperienced Drivers.” Accident; Analysis and Prevention 42 (3): 935–943. https://doi.org/10.1016/j.aap.2009.10.013.
   Google Scholar
• Zhang, C., and Y. Ma. 2014. “Can Visibility Difference Between Driver and Pedestrian Lead to Crash?” Transportation Letters 6 (4): 165–172. https://doi.org/10.1179/1942787514Y.0000000018.
   Google Scholar
• Zhu, X., and S. Srinivasan. 2011. “A Comprehensive Analysis of Factors Influencing the Injury Severity of Large-Truck Crashes.” Accident Analysis and Prevention 43 (1): 49–57. https://doi.org/10.1016/j.aap.2010.07.007.
   Google Scholar