Impact of On-Curve Speed Variability on the Safety and Consistency Assessment of a Two-Lane Rural Highway in Mountainous Terrain

This study investigates how the speed variability on curves affects the geometric design consistency and safety assessment of a two-lane undivided rural highway in mountainous terrain. Previous studies have shown that speed is not constant on the curve, and the minimum speed (VMin) and the maximum speed (VMax) do not consistently occur at specific points on the curve. Naturalistic driving (ND) data can only reveal such speed fluctuations on the horizontal curves; however, getting such data from mountainous terrain poses several challenges. To address this, the study first develops correction factors for the operating speed at the curve center to estimate maximum and minimum 85th percentile speeds. Then, the geometric design consistency was evaluated in terms of Lamm’s safety criteria for major commuting vehicles (cars and loaded trucks). To consider the speed variability, this study used VMax85 in place of V85 for evaluating the design consistency. Similarly, VMax85 was used in place of V85 for estimating the demanded side friction, fRD. For evaluating the operating speed consistency, VMin85 was used in place of Vi+185. The findings corresponding to these changes were compared with the results of Lamm’s safety criteria. The effect of using VMax85 and VMin85 in the consistency evaluation was assessed through the level of agreement. The agreement level between safety criteria and the crashes corresponding to trucks showed that the application of VMax85 and VMin85 improves the identification of problematic sections. The levels of agreement between the overall safety module and endangerment level corresponding to VCC85 and, VMax85 and VMin85 are 79.3% and 84.4%, respectively. Furthermore, the crash frequency models corresponding to the three safety criteria revealed that the VMax85 and VMin85 significantly impact the safety evaluation. It was also found that the speed variables, VMax85 and VMin85 play a vital role in predicting the crash frequency compared to the geometric parameters. Thus, the study recommends considering speed variability through VMax85 and VMin85 when assessing geometric design consistency and safety of undivided highways in mountainous terrain.

Authors

Institutions

Publication Details

Journal
Journal of Transportation Engineering Part A Systems
Published
2025-04-23
DOI
https://doi.org/10.1061/jtepbs.teeng-8693
Primary Topic
Transportation Safety and Impact Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of On-Curve Speed Variability on the Safety and Consistency Assessment of a Two-Lane Rural Highway in Mountainous Terrain

Mallikarjuna Chunchu, R. D. K. Shallam, V. A. Bharat Kumar Anna
Journal of Transportation Engineering Part A Systems
Transportation Safety and Impact Analysis
article

Impact of On-Curve Speed Variability on the Safety and Consistency Assessment of a Two-Lane Rural Highway in Mountainous Terrain

Mallikarjuna Chunchu, R. D. K. Shallam, V. A. Bharat Kumar Anna
article en

Abstract

This study investigates how the speed variability on curves affects the geometric design consistency and safety assessment of a two-lane undivided rural highway in mountainous terrain. Previous studies have shown that speed is not constant on the curve, and the minimum speed (VMin) and the maximum speed (VMax) do not consistently occur at specific points on the curve. Naturalistic driving (ND) data can only reveal such speed fluctuations on the horizontal curves; however, getting such data from mountainous terrain poses several challenges. To address this, the study first develops correction factors for the operating speed at the curve center to estimate maximum and minimum 85th percentile speeds. Then, the geometric design consistency was evaluated in terms of Lamm’s safety criteria for major commuting vehicles (cars and loaded trucks). To consider the speed variability, this study used VMax85 in place of V85 for evaluating the design consistency. Similarly, VMax85 was used in place of V85 for estimating the demanded side friction, fRD. For evaluating the operating speed consistency, VMin85 was used in place of Vi+185. The findings corresponding to these changes were compared with the results of Lamm’s safety criteria. The effect of using VMax85 and VMin85 in the consistency evaluation was assessed through the level of agreement. The agreement level between safety criteria and the crashes corresponding to trucks showed that the application of VMax85 and VMin85 improves the identification of problematic sections. The levels of agreement between the overall safety module and endangerment level corresponding to VCC85 and, VMax85 and VMin85 are 79.3% and 84.4%, respectively. Furthermore, the crash frequency models corresponding to the three safety criteria revealed that the VMax85 and VMin85 significantly impact the safety evaluation. It was also found that the speed variables, VMax85 and VMin85 play a vital role in predicting the crash frequency compared to the geometric parameters. Thus, the study recommends considering speed variability through VMax85 and VMin85 when assessing geometric design consistency and safety of undivided highways in mountainous terrain.

Journal of Transportation Engineering Part A SystemsVol. 151(7)
Indian Institute of Technology Guwahati (IN), Vignan's Foundation for Science, Technology & Research (IN), National Institute of Technology Andhra Pradesh (IN)
Climate action
Openalex Percentile: Top 92%
Transportation Safety and Impact Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.