Identification of Crash Risk Index for Urban Road: A Case Study of Ahmedabad City.

  • Unique Paper ID: 143607
  • Volume: 2
  • Issue: 12
  • PageNo: 134-140
  • Abstract:
  • Road Safety is one of the crucial subject in transportation engineering. This study deals with the estimation of crash risk index for urban Arterial Street by safety levels considering Accident. Accident analysis covers the 8km stretch with 9 locations, in which the more accidents are occurs. The traffic classified volume count, spot speed, gradient, Road width, footpath width; geometrical conditions are the factors affecting the accident. Traffic accident data for three years (2013-2015) are used in development and testing the model. The regression model of Crash Risk index i.e. an estimated score to rank the sites by using different road features is developed with R2 value and t vale using the above parameters with the help of statistical tools.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{143607,
        author = {UPADHYAY DRASHTI HASMUKHRAI and Dr. K.V.Ganeshbabu and Prof (Dr) P.J. Gundaliya},
        title = {Identification of Crash Risk Index for Urban Road: A Case Study of Ahmedabad City.},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {2},
        number = {12},
        pages = {134-140},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=143607},
        abstract = { Road Safety is one of the crucial subject in transportation engineering. This study deals with the estimation of crash risk index for urban Arterial Street by safety levels considering Accident. Accident analysis covers the 8km stretch with 9 locations, in which the more accidents are occurs. The traffic classified volume count, spot speed, gradient, Road width, footpath width; geometrical conditions are the factors affecting the accident. Traffic accident data for three years (2013-2015) are used in development and testing the model. The regression model of Crash Risk index i.e. an estimated score to rank the sites by using different road features is developed with R2 value and t vale using the above parameters with the help of statistical tools.},
        keywords = {Accident, Crash risk index, traffic, Safety },
        month = {},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 2
  • Issue: 12
  • PageNo: 134-140

Identification of Crash Risk Index for Urban Road: A Case Study of Ahmedabad City.

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