The aim of this study is to assess the safety of multi-lane rural highway in India. This paper shows the application of a generalized linear modeling technique for the analysis of road accidents on the Indian National Highway. Speed, traffic flow and road characteristics data on four-lane dived rural highway in Dahod are analyzed. The study proposes a novel approach to include average daily traffic (ADT) and average spot speed (AS) in the accident prediction model for a rural highway. The model has been developed for accidents per km as a dependent variable and significant variables such as Junction density, village settlement nearby, ADT, AS as independent variables. The findings from the model offer a better estimate of accidents for a multilane divided rural highway. Statistical Models cannot fully reflect the characteristics of each section due to the heterogeneous nature of road accidents, so the association rule mining technique has been used to identify accident spots as it can deal with the heterogeneous nature of accidents. Accident spots have been assessed by correlating various attributes to the severity of the accident (fatal, non-fatal). This research will help to improve road safety on rural highways.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Development of Model for Road Crashes and Identification of Accident Spots


    Additional title:

    Int. J. ITS Res.


    Contributors:


    Publication date :

    2021-04-01


    Size :

    13 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Motorcycle Crashes and Driver Blind Spots

    Haworth, N. L. / Smith, G. / Australian Transport Safety Bureau | British Library Conference Proceedings | 1999


    Motorcycle Crashes And Driver Blind Spots

    Haworth, N. L. / Australian Transport Safety Bureau | British Library Conference Proceedings | 1999



    Identification of potential traffic accident hot spots based on accident data and GIS

    Zhu Hongge / Zhou Yuntong / Chen Yanyan | DOAJ | 2020

    Free access

    Rating and Prioritization of Crashes Black Spots and Road Safety Measures. Case Study: National Highway-44, India

    Aziz, Shawon / Sarkar, Pradeep Kumar / Bhavsar, Jigesh | Springer Verlag | 2020