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Predicting Injury Severity in Construction Using Logistic Regression
Prediction of injury severity is an important task for articulating proper mitigation measures to reduce the loss of an accident resulting into...
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Heavy Vehicle Crashes at Unsignalized Intersections: Embracing Unobserved Heterogeneity in Injury Severity Analysis
Studies on fatal crashes involving heavy vehicle crashes at unsignalized intersections typically emphasize the examination of injury severity at the...
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Causal Analysis and Classification of Traffic Crash Injury Severity Using Machine Learning Algorithms
ObjectivesCausal analysis and classification of injury severity applying non-parametric methods for traffic crashes have received limited attention....
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Phase-wise injury integrated severity modeling of road accidents: a two-stage hybrid multi-criteria decision-making model
The road accident severity analysis of any geographic area is usually based on the total number of accidents, while the significance of minor and...
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Jointly modeling the dependence of injury severity and crash size involved in motorcycle crashes in Cambodia using a copula-based approach
Escalating motorcycle crashes present a significant challenge due to the increase in motorcycle registrations and the corresponding increase in...
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Exploring Driver Injury Severity Using Latent Class Ordered Probit Model: A Case Study of Turkey
There have been limited efforts to study the severity of traffic crashes in Turkey. This study is probably the first attempt to investigate the...
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Predicting Crash Injury Severity in Smart Cities: a Novel Computational Approach with Wide and Deep Learning Model
Smart cities came out as highly knowledgeable bio-networks, offering intelligent services and innovative solutions to urban problems. With rapid...
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Predicting and Analysing Pedestrian Injury Severity: A Machine Learning-Based Approach
Pedestrians have a higher risk of casualties on the road. To improve the situation, it is essentially needed to understand the factors contributing...
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Protective Clothing Reduces Lower Limb Injury Severity Against Propelled Sand Debris in a Laboratory Setting
The contribution of energised environmental debris to injury patterns of the blast casualty is not known. The extent to which personal protective...
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Exploring injury severity of pedestrian-vehicle crashes at intersections: unbalanced panel mixed ordered probit model
Although the pedestrian deaths have been declining in recent years, the pedestrian-vehicle death rate in Croatia is still pretty high. This study...
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Pedestrian Injury Severity in Dhaka, Bangladesh: A Latent Segmentation-Based Logit Modeling Approach
This study investigates pedestrian injury severity for Dhaka, the capital of Bangladesh—a develo** country. A latent segmentation-based ordered...
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Modelling the Injury Severity of Heavy Vehicle Crashes in Australia
Road freight transport and heavy vehicles play a significant role in transporting commodities and merchandise goods in Australia. According to the...
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Correction to: Injury Severity Analysis of Secondary Incidents
In the original version of the book, in Chapter 14, the following belated corrections in references were incorporated. (1) added to acknowledge:...
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Comparative Study for Optimized Deep Learning-Based Road Accidents Severity Prediction Models
Road traffic accidents remain a major cause of fatalities and injuries worldwide. Effective classification of accident type and severity is crucial...
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Study on the Classification Method of the Usage Severity of Aircraft Structures
The high overload and high maneuverability in the training course result in the structural damage and the life consumption speed is accelerated, the...
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Towards an Accident Severity Prediction System with Logistic Regression
The main negative impacts of road accidents are injuries and deaths. According to statistics from the World Health Organization (WHO), traffic...
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Road Accidents Severity Prediction Using a Voting-Based Ensemble ML Model
Nowadays road accidents are becoming a major global challenge, leading to a high rate of injuries, fatalities, and large economic losses annually....
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Identification of Crash Severity Level of Unsignalized Intersection Blackspots in Mixed Traffic Scenario
A blackspot is where accidents are most likely to happen as it has a history of a significant number of accidents in recent years. Amid different...
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The Residential Fire Injury Pyramid
The injury pyramid is a commonly used model in order to illustrate the relationship between non-injurious events and fatal events, as well as the...
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Photobiomodulation Therapy for Tnraumatic Brain Injury
This chapter explores the potential of photobiomodulation (PBM) therapy for traumatic brain injury (TBI), providing an overview of the condition,...