- Kwon, O., Park, M., Yeo, H., Chung, K. (2013) "Evaluating the performance of network screening methods for detecting high collision concentration locations on highways”, Accident Analysis & Prevention, vol. 51, pp. 141-149.
- Green, E. R. (2018) "Segmentation Strategies for Road Safety Analysis", Theses and Dissertations, Civil Engineering, University of Kentucky.
- Medury, A., Grembek, O. (2016) “Dynamic programming-based hot spot identification approach for pedestrian crashes”, Accident Analysis & Prevention, vol. 93, pp. 198-206.
- Elvik, R. (2007) “State-of-the-art approaches to road accident black spot management and safety analysis of road networks”, European Commission, National Research Council of Norway, Institute of Transport Economics.
- Szénási, S. (2016) “Variable sized planar sliding window technique for searching accident hot spots”, 16th Sgem Geoconference on Informatics, Geoinformatics and Remote Sensing, 28 June – 7 July, 2016, Bulgaria.
- Qin, X., Wellner, A. (2011) “Development of safety screening tool for high risk rural roads in south dakota”, Civil Laboratory for Operations and Safety Engineering in Transportation, Department of Civil and Environmental Engineering, South Dakota State University.
- Qaseem Ghadi, M. (2020) “Methods of segmenting and analyzing of road accident data”, A dissertation for the degree of doctor of philosophy, Supervisor: Dr. Torok, Á., Budapest University of Technology and Economics, Faculty of Transportation Engineering and Vehicle Engineering.
- Lee, J., Chung, K., Papakonstantinou, I., Kang, S., Kim, D. (2020) “An optimal network screening method of hotspot identification for highway crashes with dynamic site length.”, Accident Analysis & Prevention, vol. 135, 105358.
- Ghadi, M., Török, Á. (2019) “A comparative analysis of black spot identification methods and road accident segmentation methods”, Accident Analysis & Prevention, vol. 128, pp. 1-7.
- AASHTO, (2010) “Highway safety manual 1st edition” American Association of State Highway and Transportation Officials.
- Kolody, K., Perez-Bravo, D., Zhao, J., Neuman, T.R (2014) “Highway safety Manual user guide”, National Cooperative Highway Research Program, Federal Highway Administration (FHWA).
Bonera, M., Barabino, B., Maternini, G. (2022) “A Straightforward Framework for Road Network Screening to Lombardy Region” Sustainability, 14, 12424
https://doi.org / 10.3390 / su141912424
- Ester, M., Kriegel, H., Sander, J., Xu, X. (1996) “A density-based algorithm for discovering clusters in large spatial databases with noise”, KDD'96: Proceedings of the Second International Conference on Knowledge Discovery and Data Mining.
- Farid, A., Abdel-Aty, M., Lee, J. (2019) ”Comparative analysis of multiple techniques for developing and transferring safety performance functions”, Accident Analysis & Prevention, vol. 122, pp. 85-98.
- Lord, D., Mannering, F. (2010) “The statistical analysis of crash-frequency data: a review and assessment of methodological alternatives”, Transportation. Research Part A: Policy and Practice. Vol. 44(5), pp. 291-305.
- Farid, A., Abdel-Aty, M., Lee, J. (2018) “Transferring and calibrating safety performance functions among multiple states”, Accident Analysis & Prevention, vol. 117, pp. 276–287.
- Srinivasan, R., Bauer, K. (2013) ”Safety performance function development guide: developing jurisdiction specific SPFs”, The University of North Carolina Highway Safety Research Center, FHWA-SA-14-005.
- Ghadi, M., Török, Á. (2019) “Comparison of different road segmentation methods”, Promet Traffic Transport (in press).
- Fisher, R.A. (1992) “Statistical methods for research workers”, In: Kotz, S., Johnson, N.L., Breakthroughs in Statistics, Springer Series in Statistics, Springer, New York, NY.
- RC SP. (2020) “Guidelines for identifying and treating black spots”, Incorporating the comments of HSS Committee, (for the considerations of Council), India.
- Fu, X., Liu, J., Jones, S., Barnett, T., Khattak, A. (2022) “From the past to the future: Modeling the temporal instability of safety performance functions”,
Accident Analysis & Prevention,
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