Scholarlink

<p>The frequency of crashes on rural highways is relatively higher than urban roads, with more dire situations on horizontal curves. Studies indicates that the increment in these crash frequencies arises due to the geometry design inconsistency. Operating speed is one of the widely adopted measures to assess design inconsistency. Several studies developed Operating Speed Prediction (OSP) models. However, the driving patterns vary with region, highway class, and vehicle category, resulting in the development of a variety of OSP models. This study presents a comprehensive summary of the past studies on OSP models for horizontal curves. It provides insights into the geographic region, facility type, vehicle class, and geometric element-wise division of the OSP models. Countries in Asia, Australia, and Africa lack the region-specific empirical OSP models. Also, only a limited studies are available for multilane highways and vehicle classes other than cars and heavy vehicles. It also reviews the data collection approaches, sample and observation size, predictor variables, and modeling techniques adopted to develop the OSP models. The sample and observation size heavily depends upon the adopted data collection approach; hence, it should be selected carefully. Future research can be focused on analyzing the transferability of the OSP models.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Operating Speed Prediction Models for Horizontal Curves: A Review

  • 期刊论文

  • 发表日期：

    2026年1月29日

查看全文
  • Vinay Kumar Sharma,
  • Ashutosh Pandey,
  • Gourab Sil,
  • Avijit Maji

摘要

The frequency of crashes on rural highways is relatively higher than urban roads, with more dire situations on horizontal curves. Studies indicates that the increment in these crash frequencies arises due to the geometry design inconsistency. Operating speed is one of the widely adopted measures to assess design inconsistency. Several studies developed Operating Speed Prediction (OSP) models. However, the driving patterns vary with region, highway class, and vehicle category, resulting in the development of a variety of OSP models. This study presents a comprehensive summary of the past studies on OSP models for horizontal curves. It provides insights into the geographic region, facility type, vehicle class, and geometric element-wise division of the OSP models. Countries in Asia, Australia, and Africa lack the region-specific empirical OSP models. Also, only a limited studies are available for multilane highways and vehicle classes other than cars and heavy vehicles. It also reviews the data collection approaches, sample and observation size, predictor variables, and modeling techniques adopted to develop the OSP models. The sample and observation size heavily depends upon the adopted data collection approach; hence, it should be selected carefully. Future research can be focused on analyzing the transferability of the OSP models.