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Identification of Water Traffic Black Spot

Autorzy
Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Through defining Water Traffic Black Spot and analyzing the advantages and disadvantages of identification methods of Road Traffic Black Spot, then choosing Quality Control Method to recognize water area of intensive traffic accidents and applying integrated influential intensity of accident rate based on Systematical Clustering Algorithm into defining the boundary of the area, an effective evaluation method of black spot identification that is established, which lays a foundation for the subsequent evaluation work.
Rocznik
Strony
38--41
Opis fizyczny
Bibliogr. 9 poz.
Twórcy
autor
  • School of Navigation, Wuhan University of Technology
autor
  • School of Navigation, Wuhan University of Technology
Bibliografia
  • 1. SONG L., YINGJIE X.: Identification of Accident prone Route Segment in Ship Routing schemes. Navigation of China, 2010.
  • 2. SHITING D., MANLI W.: Introduce on Identification Methods of Road Traffic Black Spot. Heilongjiang Science and Technology Information, 2009.
  • 3. ZUFENG S.: Reviews on Identifying Methods of Traffic Accident Black Spot. Road Traffic and Safety, 2008.
  • 4. ZUFENG S., JIANHU C.: Problems in Practice of Identifying Traffic Accident Macula and its Countermeasure. Journal of Hubei University of Police, 2009.
  • 5. YULONG P.: Improvement in the Quality Control method to Distinguish the Black Spot of the Road. Journal of Harbin Institute of Technology, 2006.
  • 6. MANQUAN G.: A comparative study of traffic accident black point identification method.Highway, 2009.
  • 7. JIAN T., JIANG L., JIANFENG X., CHENGWU J.: Safety Evaluation of City Road Intersection Based on System Clustering. Journal of Wuhan University of Technology (Transportation Science & Engineering), 2006.
  • 8. SHEN X., XIUCHENG G., JUNMIN S.: Road traffic accident black spots to identify method research. Technology of Highway and Transport, 2003.
  • 9. SHEN X., XIUCHENG G., JUNMIN S.: Study on Road Traffic Accident Black Spot Identification Method. Journal of Highway and Transportation Research and Development, 2003.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-3756bcaa-1752-4ae5-b343-056caa144814
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