Using Existing Data Sets to Automate Identification of No-Passing Zones on Vertical Curves

[HTML] bts.gov

[HTML][HTML] Developing a Method to Identify Horizontal Curve Segments with High Crash Occurrences Using the HAF Algorithm

M Saito, J Browning, GG Schultz - 2018 - rosap.ntl.bts.gov
Crashes occur every day on Utah's highways. Curves can be particularly dangerous as they
require driver focus due to potentially unseen hazards. Often, crashes occur on curves due …
被引用次数：1 相关文章 所有 2 个版本

Automatic network-level identification of sight distance values from existing datasets

KR Santiago-Chaparro, M Chitturi, A Bill… - Transportation …, 2013 - Taylor & Francis
Many local, state, and national highways were built years before computer-based tools like
geographic information systems (GISs) and computer aided design were available …
被引用次数：1 相关文章 所有 3 个版本
[PDF] byu.edu

[图书][B] Developing a Method to Identify Horizontal Curve Segments with High Crash Occurrences Using the HAF Algorithm

JS Browning - 2019 - search.proquest.com
Crashes occur every day on Utah's roadways. Curves can be particularly dangerous as they
require driver focus due to potentially unseen hazards. Often, crashes occur on curves due …
相关文章 所有 3 个版本

High Accuracy Achieved in Determining Lengths and Locations of Horizontal Curves Using Light Detection and Ranging Point Cloud Data

JS Browning, M Saito, GG Schultz - International Conference on …, 2018 - ascelibrary.org
ABSTRACT The Utah Department of Transportation (UDOT) began collecting asset
management data using light detection and ranging (LiDAR) technology in 2012, which …
相关文章 所有 2 个版本