A novel dynamic segmentation model for identification and prioritization of black spots based on the pattern of potential for safety improvement
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DOI: 10.1016/j.tra.2016.06.020
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References listed on IDEAS
- Chung, Koohong & Ragland, David R. & Madanat, Samer & Oh, Soon Mi, 2009. "The Continuous Risk Profile Approach for the Identification of High Collision Concentration Locations on Congested Highways," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt24m8j57d, Institute of Transportation Studies, UC Berkeley.
- Koohong Chung & David R. Ragland, 2009. "The Continuous Risk Profile Approach for the Identification of High Collision Concentration Locations on Congested Highways," Springer Books, in: William H. K. Lam & S. C. Wong & Hong K. Lo (ed.), Transportation and Traffic Theory 2009: Golden Jubilee, chapter 0, pages 463-480, Springer.
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Cited by:
- Sadeghi, Aliasghar & Farhad, Hamid & Mohammadzadeh Moghaddam, Abolfazl & Jalili Qazizadeh, Morteza, 2018. "Identification of accident-prone sections in roadways with incomplete and uncertain inspection-based information: A distributed hazard index based on evidential reasoning approach," Reliability Engineering and System Safety, Elsevier, vol. 178(C), pages 278-289.
- Yichi Zhang & Xuan Dou & Hanping Zhao & Ying Xue & Jinfan Liang, 2023. "Safety Risk Assessment of Low-Volume Road Segments on the Tibetan Plateau Using UAV LiDAR Data," Sustainability, MDPI, vol. 15(14), pages 1-19, July.
- Michela Bonera & Benedetto Barabino & Giulio Maternini, 2022. "A Straightforward Framework for Road Network Screening to Lombardy Region (Italy)," Sustainability, MDPI, vol. 14(19), pages 1-26, September.
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Keywords
Road safety; Black spots; Road segmentation; Prioritization;All these keywords.
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