Roadway safety refers to the condition and measures implemented to minimise the risk of accidents, injuries and fatalities on roads. It encompasses various aspects such as infrastructure design, traffic management, vehicle safety features and user behaviour. This Study aims to analyse the road safety by using software approach which includes International Road Assessment Program (iRAP) methodology. In this ViDA software is used for the Star Ratings which is a direct analysis for Road Safety. It contains a set of headings (roadside severity, flow, intersection, speed, Mid-block etc.) under which, it has more than forty attributes which controls the star ratings for four user categories, i.e. car, bike, cycle and pedestrian. A stretch of 14 km (Jyotisar to Pipli section of SH-6) is analysed in the present study. A star rating of more than 3.0 is considered safe, therefore aim of this study is to identify critical locations (such as intersections, merging and curve’s locations) which have a star rating of less than 3.0 and to suggest minimal changes to make them 3.0+ star ratings for all four user categories.

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Safety Analysis of an Urban Road Using iRAP

  • Ayan Dhyani,
  • Praveen Aggarwal,
  • Amit Goel

摘要

Roadway safety refers to the condition and measures implemented to minimise the risk of accidents, injuries and fatalities on roads. It encompasses various aspects such as infrastructure design, traffic management, vehicle safety features and user behaviour. This Study aims to analyse the road safety by using software approach which includes International Road Assessment Program (iRAP) methodology. In this ViDA software is used for the Star Ratings which is a direct analysis for Road Safety. It contains a set of headings (roadside severity, flow, intersection, speed, Mid-block etc.) under which, it has more than forty attributes which controls the star ratings for four user categories, i.e. car, bike, cycle and pedestrian. A stretch of 14 km (Jyotisar to Pipli section of SH-6) is analysed in the present study. A star rating of more than 3.0 is considered safe, therefore aim of this study is to identify critical locations (such as intersections, merging and curve’s locations) which have a star rating of less than 3.0 and to suggest minimal changes to make them 3.0+ star ratings for all four user categories.