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1700119 Vol 1 · Issue 6 Download Paper

Identification Of Black-spots In Stretch Naidupeta To Yerpedu (NH71)

Y Himaja Reddy K Giridhar T Suresh Babu

Subject area: Science,Engineering and Technology  ·  Area of research: CIVIL ENGINEERING

Abstract

Due to the increasing traffic, accidents are became major problem in view of traffic safety. Accidents are being a multi factor event, there are many causes like drivers condition, vehicle condition and environmental condition. In the present study the accident data for proposed stretch is collected from the police station from the year 2012-2016 as per prepared formats. The data sheet contains all the required accident details and the analysis is carried out for the available data. After this using crash density and crash frequency method black spots were identified.

Keywords

Accident Data, Black-spots, Crash Density, Crash Frequency, Road accidents.

How to cite this paper

Y Himaja Reddy, K Giridhar, T Suresh Babu "Identification Of Black-spots In Stretch Naidupeta To Yerpedu (NH71)" Iconic Research And Engineering Journals Volume 1 Issue 6 2017 Page 26-31
Y Himaja Reddy, K Giridhar, T Suresh Babu "Identification Of Black-spots In Stretch Naidupeta To Yerpedu (NH71)" Iconic Research And Engineering Journals, vol. 1, no. 6, Dec. 2017
Y Himaja Reddy, K Giridhar, T Suresh Babu (2017). Identification Of Black-spots In Stretch Naidupeta To Yerpedu (NH71). Iconic Research And Engineering Journals, 1(6).
Y Himaja Reddy, K Giridhar, T Suresh Babu "Identification Of Black-spots In Stretch Naidupeta To Yerpedu (NH71)" Iconic Research And Engineering Journals, vol. 1, no. 6, Dec. 2017.
@article{1700119,
      author = {Y Himaja Reddy, K Giridhar, T Suresh Babu},
      title = {Identification Of Black-spots In Stretch Naidupeta To Yerpedu (NH71)},
      journal = {Iconic Research And Engineering Journals},
      year = {2017},
      volume = {1},
      number = {6},
      pages = {26-31},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1700119.pdf},
      abstract = {Due to the increasing traffic, accidents are became major problem in view of traffic safety. Accidents are being a multi factor event, there are many causes like drivers condition, vehicle condition and environmental condition. In the present study the accident data for proposed stretch is collected from the police station from the year 2012-2016 as per prepared formats. The data sheet contains all the required accident details and the analysis is carried out for the available data. After this using crash density and crash frequency method black spots were identified.},
      keywords = {Accident Data, Black-spots, Crash Density, Crash Frequency, Road accidents.},
      month = {December},
  }