Accident (philosophy)
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What are the factors that contribute to road accidents? An assessment of law enforcement views, ordinary drivers’ opinions, and road accident records Open
What are the main contributing factors to road accidents? Factors such as inexperience, lack of skill, and risk-taking behaviors have been associated with the collisions of young drivers. In contrast, visual, cognitive, and mobility impair…
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Examining accident reports involving autonomous vehicles in California Open
Autonomous Vehicle technology is quickly expanding its market and has found in Silicon Valley, California, a strong foothold for preliminary testing on public roads. In an effort to promote safety and transparency to consumers, the Califor…
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Human factors contributing to the road traffic accident occurrence Open
Analysis of accident causation does not allow to clearly determine the influence of one specific cause. Traffic accident has been a result of many interacting factors. Most of accident causes classification systems have been focused on the…
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Traffic Accident’s Severity Prediction: A Deep-Learning Approach-Based CNN Network Open
In traffic accident, an accurate and timely severity prediction method is necessary for the successful deployment of an intelligent transportation system to provide corresponding levels of medical aid and transportation in a timely manner.…
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A data mining approach to characterize road accident locations Open
Data mining has been proven as a reliable technique to analyze road accidents and provide productive results. Most of the road accident data analysis use data mining techniques, focusing on identifying factors that affect the severity of a…
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Current Understanding of the Effects of Congestion on Traffic Accidents Open
Traffic accidents impart both economic and social costs upon communities around the world, hence the desire for accident rates to be reduced. For this reduction to occur, the factors influencing the occurrence of accidents must be understo…
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A data mining framework to analyze road accident data Open
One of the key objectives in accident data analysis to identify the main factors associated with a road and traffic accident. However, heterogeneous nature of road accident data makes the analysis task difficult. Data segmentation has been…
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On the Generalized Poisson Regression Model with an Application to Accident Data Open
Publisher: School of Statistics, Renmin University of China, Journal: Journal of Data Science, Title: On the Generalized Poisson Regression Model with an Application to Accident Data, Authors: Felix Famoye
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The Seveso accident: A look at 40 years of health research and beyond Open
A 1976 chemical factory explosion near Seveso, Italy exposed residents to high levels of 2,3,7,8-tetracholorodibenzo-p-dioxin (TCDD or dioxin). Dioxin is a known human carcinogen and potent endocrine disruptor. It is highly lipophilic and …
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Review and analysis of methods for assessing maritime waterway risk based on non-accident critical events detected from AIS data Open
The safe navigation of ships is of high societal concern. A promising approach for analyzing waterway risks is using non-accident critical events as surrogate indicators of collision accidents. These are typically detected in data from the…
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Investigating the Differences of Single-Vehicle and Multivehicle Accident Probability Using Mixed Logit Model Open
Road traffic accidents are believed to be associated with not only road geometric feature and traffic characteristic, but also weather condition. To address these safety issues, it is of paramount importance to understand how these factors…
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An Automatic Car Accident Detection Method Based on Cooperative Vehicle Infrastructure Systems Open
Car accidents cause a large number of deaths and disabilities every day, a certain proportion of which result from untimely treatment and secondary accidents. To some extent, automatic car accident detection can shorten response time of re…
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The Reemergent 1977 H1N1 Strain and the Gain-of-Function Debate Open
The 1977-1978 influenza epidemic was probably not a natural event, as the genetic sequence of the virus was nearly identical to the sequences of decades-old strains. While there are several hypotheses that could explain its origin, the pos…
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Searching for the origins of the myth: 80% human error impact on maritime safety Open
There is a strong belief among researchers that humans contribute to some 80% of industrial accidents, including those occurring in shipping. However, few sources give actual evidence and hard data to support this statement, and even fewer…
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Factors influencing accident severity: an analysis by road accident type Open
Nowadays, road safety is an issue particularly relevant because of the increasing occurrence of road accidents. For this reason, it is very important to analyze accident severity and the factors influencing it. This paper aims to investiga…
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Determining the road traffic accident hotspots using GIS-based temporal-spatial statistical analytic techniques in Hanoi, Vietnam Open
This study applied GIS-based statistical analytic techniques to investigate the influence of accident Severity Index (SI) on temporal-spatial patterns of accident hotspots related to the specific time intervals of day and seasons. Road Tra…
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A real-time autonomous highway accident detection model based on big data processing and computational intelligence Open
Due to increasing urban population and growing number of motor vehicles,\ntraffic congestion is becoming a major problem of the 21st century. One of the\nmain reasons behind traffic congestion is accidents which can not only result\nin cas…
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Traffic Accident Severity Prediction Based on Random Forest Open
The prediction of traffic accident severity is essential for traffic safety management and control. To achieve high prediction accuracy and model interpretability, we propose a hybrid model that integrates random forest (RF) and Bayesian o…
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Machine Learning Approaches to Traffic Accident Analysis and Hotspot Prediction Open
Traffic accidents are one of the most important concerns of the world, since they result in numerous casualties, injuries, and fatalities each year, as well as significant economic losses. There are many factors that are responsible for ca…
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Towards an evidence-based probabilistic risk model for ship-grounding accidents Open
Most of the risk models for ship-grounding accidents do not fully utilize available evidence, since it is based on accident statistics and expert opinions. The major issue with such kinds of models is their limitation in supporting the pro…
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ANALYSIS OF STOCHASTIC PROCESS TO MODEL SAFETY RISK IN CONSTRUCTION INDUSTRY Open
There are many factors leading to construction safety accident. The rule presented under the influence of these factors should be a statistical random rule. To reveal those random rules and study the probability prediction method of constr…
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ADHD and accidents over the life span – A systematic review Open
Studies have demonstrated an increased risk of accidents and injuries in children, adolescents and adults with attention-deficit/hyperactivity disorder (ADHD). However, little is known about how accident risk may alter over the lifespan. A…
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IoT based car accident detection and notification algorithm for general road accidents Open
With an increase in population, there is an increase in the number of accidents that happen every minute. These road accidents are unpredictable. There are situations where most of the accidents could not be reported properly to nearby amb…
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GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting Open
Traffic accident forecasting is of great importance to urban public safety, emergency treatment, and construction planning. However, it is very challenging since traffic accidents are affected by multiple factors, and have multi-scale depe…
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RFCNN: Traffic Accident Severity Prediction Based on Decision Level Fusion of Machine and Deep Learning Model Open
Traffic accidents on highways are a leading cause of death despite the development of traffic safety measures. The burden of casualties and damage caused by road accidents is very high for developing countries. Many factors are associated …
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An accident diagnosis algorithm using long short-term memory Open
Accident diagnosis is one of the complex tasks for nuclear power plant (NPP) operators. In abnormal or emergency situations, the diagnostic activity of the NPP states is burdensome though necessary. Numerous computer-based methods and oper…
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Uncovering the behaviour of road accidents in urban areas Open
Different patterns in the incidence of road accidents are revealed when considering areas with increased levels of urbanization. To understand these patterns, road accident data from England and Wales is explored. In particular, the data a…
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Analysis of maritime transport accidents using Bayesian networks Open
A Bayesian network–based risk analysis approach is proposed to analyse the risk factors influencing maritime transport accidents. Comparing with previous studies in the relevant literature, it reveals new features including (1) new primary…
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A General Model for Railway Systems Risk Assessment with the Use of Railway Accident Scenarios Analysis Open
The paper shows the developing process of the railway system risk assessment models and the indication of their applicability to the Slovakian railways. The risk assessment models are based on the accident scenarios. Various hazardous even…
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The Significance of a Life’s Shape Open
The shape of a life hypothesis holds, very roughly, that lives are better when they have an upward, rather than downward, slope in terms of momentary well-being. This hypothesis is plausible and has been thought to cause problems for tradi…