DOI QR코드

DOI QR Code

Traffic Safety Recommendation Using Combined Accident and Speeding Data

  • Received : 2019.12.03
  • Accepted : 2020.03.06
  • Published : 2020.03.31

Abstract

Speed enforcement is one of the major challenges in traffic safety. The increasing number of accidents and fatalities has led governments to respond by implementing an intelligent control system. For example, the Korean government implemented a speed camera system for maintaining road safety. However, many drivers still engage in speeding behavior in blackspot areas where speed cameras are not provided. Therefore, we propose a methodology to analyze the combined accident and speeding data to offer recommendations to maintain traffic safety. We investigate three factors: "section," "existing speed camera location," and "over speeding data." To interpret the results, we used the QGIS tool for visualizing the spatial distribution of the incidents. Finally, we provide four recommendations based on the three aforementioned factors: "investigate with experts," "no action," "install fixed speed cameras," and "deploy mobile speed cameras."

Keywords

References

  1. World Health Organization (WHO), Global status report on road safety 2018 [Internet], Available: https://www.who.int/violence_injury_prevention/road_safety_status/2018/en/.
  2. The International Traffic Safety Data and Analysis Group (IRTAD), Road Safety Annual Report 2018 [Internet], Available: https://www.itf-oecd.org/sites/default/files/docs/irtad-road-safety-annualreport-2018_2.pdf.
  3. D. P. Ellen, D. Stijn, T. Brijs, E. Hermans, and G. Wets, "An evaluation of the traffic safety effect of fixed speed cameras," International Journal of Safety Science, vol. 62, pp. 168-174, 2014. DOI: 10.1016/j.ssci.2013.07.028.
  4. S. Boonsiripant, A. Sumalee, J. Rudjanakanoknad, S. Panwai, P. Panudulkitti, and C. Haripai, Automated Speed Enforcement in Thailand: Evaluations and Recommendations Final Report [Internet], Available: http://www.atransociety.com/resources/pdf/pdfResearch2013-2018/2013/Project12-13-002(Dr.Saroch).pdf.
  5. H. Li, D. J. Graham, and A. Majumdar, "The impacts of speed cameras on road accidents: An application of propensity score matching methods," International Journal of Accident Analysis and Prevention, vol. 60, pp. 148-157, 2013. DOI: 10.1016/j.aap.2013.08.003.
  6. E. Blais and L. Carnis, "Improving the safety effect of speed camera programs through innovations: Evidence from the French experience," International Journal of Safety Research, vol. 55, pp. 135-145, 2015. DOI: 10.1016/j.jsr.2015.08.007.
  7. F. Abbondati, F. S. Capaldo, D. Zilioniene, and A. Kuzburski, "Crashes comparison before and after speed control cameras installation: Case studies on rural roads in Lithuania and Italy," International Journal of Civil Engineering and Technology (IJCIET), vol. 8, pp.125-140, 2017.
  8. J. G. Kang, "Changes of speed and safety by automated speed enforcement systems," International Journal of IATSS Research, vol. 26, pp. 38-44, 2002. DOI: 10.1016/S0386-1112(14)60041-8.
  9. Centre for Road Safety, Speed Camera Programs: 2018 Annual Review [Internet], Available: https://roadsafety.transport.nsw.gov.au/downloads/2018-speed-camera-review-ppendices.pdf.
  10. Victoria Police, Speed Camera Site Selection Criteria [Internet], Available: http://www.carr.org.au/d-speed-camera-site-selection-criteria.pdf.
  11. M. Shawky, I. Sahnoon, and A. Al-Zaidy, "Predicting speed-related traffic violations on rural highways," in Proceedings of the 2nd World Congress on Civil, Structural, and Environmental Engineering (CSEE'17), Spain, ICTE 117, 2017. DOI: 10.11159/icte17.117.
  12. M. R. Elyasi, S. F. Faezi, M. H. Sabet, and M. Mazaheri, "An ANPBased model for location of fixed speed cameras," International Journal of Transportation Engineering, vol. 6, pp. 17-34, 2018.
  13. A. Rhanizar and Z. E. Akkaoui, "A predictive framework of speed camera locations for road safety," International Journal of Computer and Information Science, vol. 12, pp. 92-103, 2019. DOI: 10.5539/jmr.v12n3p92.
  14. A. Onuean, H. Jung, and D. Lee, "On recommending additional speed cameras for reducing accidents based on sections and existing speed cameras," in Proceedings of the 12th International Conference on Future Information & Communication Engineering (ICFICE2019), 2019.
  15. A. Onuean, and H. Jung, "Speeding detection and time by time visualization based on vehicle trajectory Data," in Proceeding of Korea Institute of Information and Communication Engineering (KIICE) Fall Conference, 2018.
  16. W. Wang, Z. Yuan, Y. Yang, X. Yang, and Y. Liu, "Factors influencing traffic accident frequencies on urban roads: A spatial panel timefixed effects error model," Journal PLoS one, 2019. DOI: 10.1371/journal.pone.0214539.
  17. Z. Ma, C. Shao, H. Yue, and S. Ma, "Analysis of the logistic model for accident severity on urban road environment," in IEEE Intelligent Vehicles Symposium, pp. 983-987, 2009.