Hazard perception test among young inexperienced drivers and risk analysis while driving through a T-junction

  • Md Faysal Kabir Department of Electronics & Communication Engineering, National Institute of Technology Arunachal Pradesh, Jote, India
  • Sahadev Roy Department of Electronics & Communication Engineering, National Institute of Technology Arunachal Pradesh, Jote, India
Keywords: Accident Analysis, decision making, driver situation awareness, Intersection design, Modeling of driver reaction time, T-junction, Traffic Accidents

Abstract

In this article, the hazard-based accident duration model and the reaction time due to various types of distractions are considered. This analysis is mainly considered T-junction or T-junctions like all other forms of road geometries which are more prone to accident. The model proposed is constructed by using a electronics devices along with driving simulator, to study the behavior of the yang inexperienced drivers as well as an experienced driver about their reaction by calling their phone from unknown numbers intentionally. The results show that drivers distracted by mobile phones uses the hard breaking due to least available time to respond after identification of an event. Some of the research and theory bearing on decision making and risk perception, driver situation awareness, and possible mediators of risk-taking is also analyzed here.

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References

Almutairy, F., Alshaabi, T., Nelson, J., & Wshah, S. (2019). ARTS: Automotive Repository of Traffic Signs For The United States. IEEE Transactions on Intelligent Transportation Systems, 22(1), 457-465.

Backer-Grøndahl, A., & Sagberg, F. (2011). Driving and Telephoning: Relative Accident Risk When Using Hand-Held and Hands-Free Mobile Phones. Safety Science. 49(2), 324-330. DOI: https://doi.org/10.1016/j.ssci.2010.09.009

Chang, X., Li, H., Rong, J., Huang, Z., Chen, X., & Zhang, Y. (2019). Effects of On-Board Unit on Driving Behavior In Connected vehicle Traffic Flow. Journal of Advanced Transportation, 2019(2), 1-10. Https://Doi.Org/10.1155/2019/8591623.

Choudhary, P., &Velaga, N. R. (2017). Modelling Driver Distraction Effects Due to Mobile Phone Use on Reaction Time. Transportation Research Part C: Emerging Technologies, 77(4), 351-365. DOI: https://doi.org/10.1016/j.trc.2017.02.007

Das, A., Gjerde, H., Gopalan, S. S., &Normann, P. (2012). Alcohol, Drugs, and Road Traffic Crashes in India: A Systematic Review. Traffic Injury Prevention, 13(6), 544-553. DOI: https://doi.org/10.1080/15389588.2012.663518

Demasi, F., Giuseppe, L., & Laura, M. (2018). Road Safety Analysis of Urban Roads: Case Study of an Italian Municipality. Safety, 4(4), 58.

Dewan, M. C., Mummareddy, N., &Wellons III, J. C. (2016). Epidemiology of Global Pediatric Traumatic Brain Injury: Qualitative Review. World Neurosurgery, 91(7), 497-509. DOI: https://doi.org/10.1016/j.wneu.2016.03.045

Drosu, A., Cofaru, C., & Popescu, M. V. (2020). Influence of Weather Conditions On Fatal Road Accidents on Highways And Urban and Rural Roads in Romania. International Journal of Automotive Technology, 21(2), 309-317.

Eboli, L., Forciniti, C., & Mazzulla, G. (2020). Factors Influencing Accident Severity: An Analysis by Road Accident Type. Transportation Research Procedia, 47(2020), 449-456.

Fancello, G., Michele, C., & Paolo, F. (2019). Road Intersections Ranking for Road Safety Improvement: Comparative Analysis of Multi-Criteria Decision Making Methods. Transport Policy, 80(8), 188-196. DOI: https://doi.org/10.1016/j.tranpol.2018.04.007

Fang, C. Y., Chen, S. W., & Fuh, C. S. (2003). Road-Sign Detection And Tracking. IEEE Transactions on Vehicular Technology, 52(5), 1329-1341. DOI: https://doi.org/10.1109/TVT.2003.810999

Transportation Research Board (2000). Highway Capacity Manual. National Academy of Sciences, Washington DC.

Kim, H. Y. (2015). Statistical Notes For Clinical Researchers: A One-Way Repeated Measures ANOVA For Data With Repeated Observations. Restorative Dentistry &Endodontics, 40(1), 91-95. DOI: https://doi.org/10.5395/rde.2015.40.1.91

Motor Vechile Act. Govt. Of India. (Last Seen 18th Dec 2021). Retrieved From Https://Www.Indiacode.Nic.In/Bitstream/123456789/9460/1/A1988-59.Pdf

Kabir, M. F., & Roy, S. (2020). Design Of Hazard Based Model And Collision Avoidance System . Journal of Critical Reviews, 7(19), 5979-5989.

Mcevoy, S. P., Stevenson, M. R., & Woodward, M. (2006). Phone Use And Crashes While Driving: A Representative Survey of Drivers in Two Australian States. Medical Journal of Australia, 185(11-12), 630-634.

Mukherjee, D., & Mitra, S. (2020). Comprehensive Study of Risk Factors for Fatal Pedestrian Crashes in Urban Setup in a Developing Country. Transportation Research Record, 2674(8), 110-118.

Robbins, C. J., Harriet, A. A., & Peter, C. (2019). Comparing Drivers’ Visual Attention At Junctions In Real And Simulated Environments. Applied Ergonomics, 80(10), 89-101.

Schlögl, M. (2020). A Multivariate Analysis of Environmental Effects on Road Accident Occurrence Using a Balanced Bagging Approach. Accident Analysis & Prevention, 136(3), 105398. 10.1016/J.Aap.2019.105398.

Shahzad, M. (2020). Review of Road Accident Analysis Using GIS Technique. International Journal of Injury Control and Safety Promotion, 27(4), 472-481

Whittaker, S., Khalfan, M. M., &Ulhaq, I. (2020). Developing Community Disaster Resilience Through Preparedness. International Journal of Critical Infrastructures, 16(1), 53-76.

Published
2023-01-03
How to Cite
Kabir, M. F., & Roy, S. (2023). Hazard perception test among young inexperienced drivers and risk analysis while driving through a T-junction. Decision Making: Applications in Management and Engineering, 6(1), 1-17. https://doi.org/10.31181/dmame181221015k