Results 31 to 40 of about 81,532 (194)
Investigating crash injury severity at unsignalized intersections in Heilongjiang Province, China
Many studies suggest that more crashes occur due to mixed traffic flow at unsignalized intersections. However, very little is known about the injury severity of these crashes.
Yulong Pei, Chuanyun Fu
doaj +1 more source
Application of hybrid support vector Machine models in analysis of work zone crash injury severity
Crash severity models are often used to analyze the adverse effects of highway work zones on traffic safety. In this study we evaluated application of hybrid support vector machine (SVM) and hyperparameter optimization models for improved accuracy of ...
Branislav Dimitrijevic +2 more
doaj +1 more source
New research opportunities for roadside safety barriers improvement [PDF]
Among the major topics regarding the protection of roads, restraint systems still represent a big opportunity in order to increase safety performances.
Cantisani, Giuseppe +2 more
core +1 more source
Analyzing Traffic Crash Severity With Combination of Information Entropy and Bayesian Network
The analysis of severity causality for traffic crash is essential for enhancing the crash rescue responding speed, thereby reducing the casualties and property losses caused by roadway crashes.
Fang Zong +4 more
doaj +1 more source
Seatbelt use and risk of major injuries sustained by vehicle occupants during motor-vehicle crashes: A systematic review and meta-analysis of cohort studies [PDF]
BackgroundIn 2004, a World Health Report on road safety called for enforcement of measures such as seatbelt use, effective at minimizing morbidity and mortality caused by road traffic accidents.
A Akobeng +53 more
core +1 more source
Predicting the number of crashes that may occur as a result of specific highway features is critical in evaluating different treatment or design alternatives.
Tola Alamirew Mulugeta +3 more
doaj +1 more source
Modeling Crashes Severity Using Ensemble Techniques
Traffic crashes are modelled using different techniques and contributing factors. In this work, several ensemble machine learning algorithms were used to model crash severity at urban roundabouts using data from 15 roundabouts in Jordan. The original dataset covers four years, from 2017 to 2021.
Alhadidi, Taqwa, Elhenawy, Mohammed
openaire +3 more sources
Analysis of Potential Co-Benefits for Bicyclist Crash Imminent Braking Systems [PDF]
In the US, the number of traffic fatalities has had a long term downward trend as a result of advances in the crash worthiness of vehicles. However, these improvements in crash worthiness do little to protect other vulnerable road users such as ...
Chen, Yaobin +4 more
core +1 more source
Crash Severity Pattern of Motorcycle Crashes in Developing Country Context
Despite paying special attention to the motorcycle-involved crashes in the safety research, little is known about their pattern and impacts in developing countries. The widespread adoption of motorcycles in such regions in tandem with the vulnerability of motorcyclists exacerbates the likelihood of severe crashes. The main objective of this paper is to
Asgharpour, Sina +4 more
openaire +2 more sources
In recent years, traffic safety researchers have attempted to separate single-vehicle and multi-vehicle crashes when analyzing crash severity, considering the significant differences in the mechanism of occurrence of the two crash types.
Boniphace Kutela +4 more
doaj +1 more source

