2021International Journal of Vehicle SafetyRequires access

Safety evaluation of multiple horizontal curves using statistical models

M Harikrishna, M. V. L. R. Anjaneyulu, Neena M. Joseph

Open publisher page 0 citations

Abstract

Road safety is an important aspect of road transportation. Safety evaluation of highways helps engineers in prioritising them for safety improvement and for evaluating the effectiveness of the improvement measures. Crash prediction models are very useful for evaluating the safety levels of highway elements. Many studies reported the effect of geometry and traffic factors on safety at simple (single) horizontal curves. But the situation becomes more complex when multiple horizontal curves occur. The Highway Safety Manual also does not provide a safety performance function on multiple horizontal curves. Hence, this study aims to quantify the influence of geometric characteristics of the preceding curve on crashes and develop models for evaluation of the safety performance of multiple horizontal curves on two-lane non-urban roads. The data required for this study include crash, geometric, and traffic data from 102 multiple horizontal curves.

About this research paper

What this paper is about

Road safety is an important aspect of road transportation. Safety evaluation of highways helps engineers in prioritising them for safety improvement and for evaluating the effectiveness of the improvement measures. Crash prediction models are very useful for evaluating the safety levels of highway elements. Many studies reported the effect of geometry and traffic factors on safety at simple (single) horizontal curves. But the situation becomes more complex when multiple horizontal curves occur. The Highway Safety Manual also does not provide a safety performance function on multiple horizontal curves. Hence, this study aims to quantify the influence of geometric characteristics of the preceding curve on crashes and develop models for evaluation of the safety performance of multiple horizontal curves on two-lane non-urban roads. The data required for this study include crash, geometric, and traffic data from 102 multiple horizontal curves.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Road safety is an important aspect of road transportation. Safety evaluation of highways helps engineers in prioritising them for safety improvement and for evaluating the effectiveness of the improvement measures. Crash prediction models are very useful for evaluating the safety levels of highway elements. Many studies reported the effect of geometry and traffic factors on safety at simple (single) horizontal curves. But the situation becomes more complex when multiple horizontal curves occur. The Highway Safety Manual also does not provide a safety performance function on multiple horizontal curves. Hence, this study aims to quantify the influence of geometric characteristics of the preceding curve on crashes and develop models for evaluation of the safety performance of multiple horizontal curves on two-lane non-urban roads. The data required for this study include crash, geometric, and traffic data from 102 multiple horizontal curves.

Key concepts: Geometric design, Crash, Horizontal and vertical, Transport engineering, Poison control, Engineering, Computer science, Mathematics

Related papers

Back to paper searchBrowse research topicsOriginal source
Safety evaluation of multiple horizontal curves using statistical models — Research Paper | ScholarLens