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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Lindov, O.: Road Traffic Safety. Faculty of Traffic and Communication (2007)
Mcguigan, D.: The use of relationships between road accidents and traffic flow in ‘black-spot’ identification. Traffic Eng. Control 22(8/9), 448 (1981)
Bersaud, B.: NCHRP Synthesis 295: Statistical Methods in Highway Safety Analysis. Washington, DC (2001)
Elvik, R.: New approach to accident analysis for hazardous road locations. Transp. Res. Rec. 1953, 50–55 (2006)
Montella, A.: A comparative analysis of hotspot identification methods. Accid. Anal. Prev. 42(2), 571–581 (2010)
Elvik, R.: Comparative analysis of techniques for identifying locations of hazardous roads. Transp. Res. Rec. 2083, 72–75 (2008)
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)
Elvik, R.: A survey of operational definitions of hazardous road locations in some European countries. Accid. Anal. Prev. 40(6), 1830–1835 (2008)
European Parliament. Road Infrastructure Safety Management. Directive 2008/96/EC (2008)
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)
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)
Mitchell, T.M.: Machine Learning (1997)
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)
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)
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)
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)
Pei, Y., Ding, J.: Improvement in the quality control method to distinguish the black spots of the road. (2005)
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)
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)
Malin, F., Norros, I., Innamaa, S.: Accident risk of road and weather conditions on different road types. Accid. Anal. Prev. 122, 181–188 (2019)
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)
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)
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)
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
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)
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)
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)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-030-75275-0_80
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-75274-3
Online ISBN: 978-3-030-75275-0
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)