Calibrating the Highway Safety Manual Predictive Models for Multilane Rural Highway Segments in Saudi Arabia

2021 ◽  
Author(s):  
Hassan M. Al-Ahmadi ◽  
Arshad Jamal ◽  
Tufail Ahmed ◽  
Muhammad Tauhidur Rahman ◽  
Imran Reza ◽  
...  
Keyword(s):  
Saudi Arabia ◽  
Predictive Models ◽  
Highway Safety ◽  
Highway Safety Manual ◽  
Rural Highway

Calibration of Highway Safety Manual Predictive Models for Oregon State Highways

2011 ◽  
Vol 2241 (1) ◽  
pp. 19-28 ◽  
Author(s):  
Fei Xie ◽  
Kristie Gladhill ◽  
Karen K. Dixon ◽  
Christopher M. Monsere
Keyword(s):  
Predictive Models ◽  
Highway Safety ◽  
Highway Safety Manual

New Intersection Crash Prediction Models for the Second Edition of the Highway Safety Manual

2021 ◽  
pp. 036119812110398
Author(s):  
Darren J. Torbic ◽  
Daniel Cook ◽  
Joseph Grotheer ◽  
Richard Porter ◽  
Jeffrey Gooch ◽  
...  
Keyword(s):  
Traffic Control ◽  
Prediction Models ◽  
Highway Safety ◽  
Crash Severity ◽  
Crash Prediction ◽  
Part C ◽  
Highway Safety Manual ◽  
Rural And Urban ◽  
Diamond Interchanges ◽  
Crash Prediction Models

The objective of this research was to develop new intersection crash prediction models for consideration in the second edition of the Highway Safety Manual (HSM), consistent with existing methods in HSM Part C and comprehensive in their ability to address a wide range of intersection configurations and traffic control types in rural and urban areas. The focus of the research was on developing safety performance functions (SPFs) for intersection configurations and traffic control types not currently addressed in HSM Part C. SPFs were developed for the following general intersection configurations and traffic control types: rural and urban all-way stop-controlled intersections; rural three-leg intersections with signal control; intersections on high-speed urban and suburban arterials (i.e., arterials with speed limits greater than or equal to 50 mph); urban five-leg intersections with signal control; three-leg intersections where the through movements make turning maneuvers at the intersections; crossroad ramp terminals at single-point diamond interchanges; and crossroad ramp terminals at tight diamond interchanges. Development of severity distribution functions (SDFs) for use in combination with SPFs to estimate crash severity as a function of geometric design elements and traffic control features was explored; but owing to challenges and inconsistencies in developing and interpreting the SDFs, it was recommended for the second edition of the HSM that crash severity for the new intersection configurations and traffic control types be addressed in a manner consistent with existing methods in Chapters 10, 11, and 12 of the first edition, without use of SDFs.

scholarly journals Comparison of Different Road Segmentation Methods

2019 ◽  
Vol 31 (2) ◽  
pp. 163-172
Author(s):  
Maen Qaseem Ghadi ◽  
Árpád Török
Keyword(s):  
Road Safety ◽  
Road Network ◽  
Highway Safety ◽  
Segmentation Method ◽  
Constant Length ◽  
Highway Safety Manual ◽  
Segmentation Methods ◽  
Average Annual Daily Traffic ◽  
Clustering Approach ◽  
Road Segmentation

In road safety, the process of organizing road infrastructurenetwork data into homogenous entities is called segmentation.Segmenting a road network is considered thefirst and most important step in developing a safety performancefunction (SPF). This article aims to study the benefitof a newly developed network segmentation method which is based on the generation of accident groups applying K-means clustering approach. K-means algorithm has been used to identify the structure of homogeneous accident groups. According to the main assumption of the proposed clustering method, the risk of accidents is strongly influenced by the spatial interdependence and traffic attributes of the accidents. The performance of K-means clustering was compared with four other segmentation methods applying constant average annual daily traffic segments, constant length segments, related curvature characteristics and a multivariable method suggested by the Highway Safety Manual (HSM). The SPF was used to evaluate the performance of the five segmentation methods in predicting accident frequency. K-means clustering-based segmentation method has been proved to be more flexible and accurate than the other models in identifying homogeneous infrastructure segments with similar safety characteristics.

Sign in / Sign up

Export Citation Format

Share Document