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Proposal of Conceptual Model for Management Improvement of Dangerous Places on the Road Network

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New Technologies, Development and Application IV (NT 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 233))

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Abstract

Methodological procedures for managing dangerous places on the road network differ from country to country depending on the legislative framework governing the issue, engagement and support of state bodies, mutual harmonization and cooperation of competent and responsible institutions, data collection, availability of necessary data, accuracy and precision of data, technical support and professional training of teams and persons involved in the analyzed issues. This paper will present a conceptual model for management improvement of dangerous places, with special reference to the process of identifying dangerous places. Possibilities of application and integration of innovative methods, procedures and solutions in the function of improving the process of identification of dangerous places on the road network will also be presented. The most important influential parameters of traffic accidents on the road will be treated in particular.

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References

  1. Lindov, O.: Road Traffic Safety. Faculty of Traffic and Communication (2007)

    Google Scholar 

  2. Mcguigan, D.: The use of relationships between road accidents and traffic flow in ‘black-spot’ identification. Traffic Eng. Control 22(8/9), 448 (1981)

    Google Scholar 

  3. Bersaud, B.: NCHRP Synthesis 295: Statistical Methods in Highway Safety Analysis. Washington, DC (2001)

    Google Scholar 

  4. Elvik, R.: New approach to accident analysis for hazardous road locations. Transp. Res. Rec. 1953, 50–55 (2006)

    Article  Google Scholar 

  5. Montella, A.: A comparative analysis of hotspot identification methods. Accid. Anal. Prev. 42(2), 571–581 (2010)

    Article  Google Scholar 

  6. Elvik, R.: Comparative analysis of techniques for identifying locations of hazardous roads. Transp. Res. Rec. 2083, 72–75 (2008)

    Article  Google Scholar 

  7. Yu, H., Liu, P., Chen, J., Wang, H.: Comparative analysis of the spatial analysis methods for hotspot identification. Accid. Anal. Prev. 66, 80–88 (2014)

    Article  Google Scholar 

  8. Elvik, R.: A survey of operational definitions of hazardous road locations in some European countries. Accid. Anal. Prev. 40(6), 1830–1835 (2008)

    Article  Google Scholar 

  9. European Parliament. Road Infrastructure Safety Management. Directive 2008/96/EC (2008)

    Google Scholar 

  10. Sangare, M., Gupta, S., Bouzefrane, S., Banerjee, S., Muhlethaler, P.: Exploring the forecasting approach for road accidents: Analytical measures with hybrid machine learning. Expert Syst. Appl. 113855 (2020)

    Google Scholar 

  11. Fan, Z., Liu, C., Cai, D., Yue, S.: Research on black spot identification of safety in urban traffic accidents based on machine learning method. Saf. Sci. 118, 607–616 (2019)

    Article  Google Scholar 

  12. Mitchell, T.M.: Machine Learning (1997)

    Google Scholar 

  13. Elvik, R.: State-of-the-Art Approaches to Road Accident Black Spot Management and Safety Analysis of Road Networks. Inst. Transp. Econ. Oslo. vol. Report 883 (2007)

    Google Scholar 

  14. Lindov, O., Kiso, F., Omerhodzic, A., Begovic, M.: BSM – Black Spot Management as methodology approach in increasing safety of road traffic. In: IMSC 7th International Maritime Science Conference, pp. 445–451 (2017)

    Google Scholar 

  15. Sørensen, M., Elvik, R.: Black Spot Management and Safety Analysis of Road Networks - Best Practice Guidelines and Implementation Steps, Institute of Transport Economics, Oslo (2008)

    Google Scholar 

  16. Elvik, R.: State-of-the-art approaches to road accident black spot management and safety analysis of road networks, Institute of Transport Economics, Oslo (2007)

    Google Scholar 

  17. Pei, Y., Ding, J.: Improvement in the quality control method to distinguish the black spots of the road. (2005)

    Google Scholar 

  18. Andersson, J., et al.: Roadside infrastructure for safer European roads: D08 European best practice for roadside design: guidelines for maintenance and operations of roadside infrastructure. Project RISER, European Community, undefined (2006)

    Google Scholar 

  19. Lindov, O., Omerhodzic, A., Tatarevic, A.: Model of evaluation and assessment of safety parameters of dangerous places on roads. Mod. Traffic 34(3–4), 286–292 (2014)

    Google Scholar 

  20. Malin, F., Norros, I., Innamaa, S.: Accident risk of road and weather conditions on different road types. Accid. Anal. Prev. 122, 181–188 (2019)

    Article  Google Scholar 

  21. Chung, W., Abdel-Aty, M., Lee, J.: Spatial analysis of the effective coverage of land-based weather stations for traffic crashes. Appl. Geogr. 90, 17–27 (2018)

    Article  Google Scholar 

  22. Theofilatos, A.: Incorporating real-time traffic and weather data to explore road accident likelihood and severity in urban arterials. J. Safety Res. 61, 9–21 (2017)

    Article  Google Scholar 

  23. Chen, H.: Black spot determination of traffic accident locations and its spatial association characteristic analysis based on GIS. J. Geogr. Inf. Syst. 4(6), 608–617 (2012)

    Google Scholar 

  24. Harirforoush, H., Bellalite, L.: A new integrated GIS-based analysis to detect hotspots: A case study of the city of Sherbrooke, Accident Analysis and Prevention, Elsevier Ltd, 26-Feb-2016

    Google Scholar 

  25. Outay, F., Mengash, H.A., Adnan, M.: Applications of unmanned aerial vehicle (UAV) in road safety, traffic and highway infrastructure management: Recent advances and challenges. Transp. Res. Part A Policy Pract. 141, 116–129 (2020)

    Article  Google Scholar 

  26. Khan, N.A., Jhanjhi, N.Z., Brohi, S.N., Usmani, R.S.A., Nayyar, A.: Smart traffic monitoring system using Unmanned Aerial Vehicles (UAVs). Comput. Commun. 157, 434–443 (2020)

    Article  Google Scholar 

  27. Lindov, O., Omerhodžić, A.: New technologies for improving driver response efficiency in risk prevention from traffic environment. In: International Conference “New Technologies, Development and Applications”, Lecture Notes in Networks and Systems, vol. 128 LNNS, pp. 570–580 (2020)

    Google Scholar 

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Omerhodžić, A., Lindov, O., Kosovac, A. (2021). Proposal of Conceptual Model for Management Improvement of Dangerous Places on the Road Network. In: Karabegović, I. (eds) New Technologies, Development and Application IV. NT 2021. Lecture Notes in Networks and Systems, vol 233. Springer, Cham. https://doi.org/10.1007/978-3-030-75275-0_80

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