Results 71 to 80 of about 81,532 (194)

Enabling Data-Driven Transportation Safety Improvements in Rural Alaska [PDF]

open access: yes, 2019
Safety improvements require funding. A clear need must be demonstrated to secure funding. For transportation safety, data, especially data about past crashes, is the usual method of demonstrating need.
Bennett, F. Lawrence   +2 more
core  

Characteristics of cyclist crashes in Italy using latent class analysis and association rule mining.

open access: yesPLoS ONE, 2017
The factors associated with severity of the bicycle crashes may differ across different bicycle crash patterns. Therefore, it is important to identify distinct bicycle crash patterns with homogeneous attributes.
Gabriele Prati   +4 more
doaj   +1 more source

Exploring Risk Factors with Crash Severity on China Two-Lane Rural Roads Using a Random-Parameter Ordered Probit Model

open access: yesJournal of Advanced Transportation, 2020
Understanding the factors that contribute to traffic crashes can help provide a fundamental basis to plan and develop appropriate countermeasures for road safety issues emerging in particular on two-lane rural roads.
Shikun Xie   +4 more
doaj   +1 more source

Crash severity modeling in transportation systems [PDF]

open access: yes, 2018
Dissertation supervisor: Dr. Timothy Matisziw. ; Includes vita. ; Modeling crash severity is an important component of reasoning about the issues that may affect highway safety. A better understanding of the factors underlying crash severity can be used to reduce the degree of crash severity injury, locate road hazardous sites, and adopt suitable ...
openaire   +2 more sources

Analysing the effectiveness of unsignalized crossing infrastructure in improving pedestrian safety using multiple data-driven approaches

open access: yesIATSS Research
This study investigates the effectiveness of unsignalized crossings to enhance pedestrian safety through a robust data-driven approach utilizing multiple machine learning models, including the statistical classifier Logistic Regression, Decision Tree ...
Shengqi Liu, Harry Evdorides
doaj   +1 more source

Hazard Perception and Demand for Insurance Among Selected Motorcyclists in Lagos, Nigeria [PDF]

open access: yes, 2016
This study examines hazard perception effects on the demand for insurance withspecial focus on motorcycle riders in Lagos state. For this purpose, the researchershave been able to examine selected hazard perception determinants and theireffects on the ...
Ajemuningbohun, S. S. (Sunday)   +2 more
core  

Safety and Efficacy of Hospital Utilization of Tranexamic Acid in Civilian Adult Trauma Resuscitation [PDF]

open access: yes, 2020
Introduction: Patients with trauma-induced coagulopathies may benefit from the use of antifibrinolytic agents, such as tranexamic acid (TXA). This study evaluated the safety and efficacy of TXA in civilian adults hospitalized with traumatic hemorrhagic ...
Borger, Rodney   +13 more
core  

Comparing Prediction Performance for Crash Injury Severity Among Various Machine Learning and Statistical Methods

open access: yesIEEE Access, 2018
Crash injury severity prediction is a promising research target in traffic safety. Traditionally, various statistical methods were used for modeling crash injury severities. In recent years, machine learningbased methods are becoming popular due to their
Jian Zhang   +3 more
doaj   +1 more source

The effectiveness of delineation treatments [PDF]

open access: yes, 2005
A literature review undertaken for Transit NZ has found that delineation has a significant effect on driver behaviour with, for example, shoulder rumble strips reducing run-off-theroad crashes by between 22% and 80% (average of 32% for all crashes and 44%
Baas, Peter H.   +2 more
core  

Exploring Driver Injury Severity at Intersection: An Ordered Probit Analysis

open access: yesAdvances in Mechanical Engineering, 2015
It is well known that intersections are the most hazardous locations; however, only little is known about driver injury severity in intersection crashes.
Yaping Zhang, Chuanyun Fu, Shaowu Cheng
doaj   +1 more source

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