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IDENTIFYING THE KEY RISK FACTORS OF TRAFFIC ACCIDENT INJURY SEVERITY ON SLOVENIAN ROADS USING A NON-PARAMETRIC CLASSIFICATION TREE

Vesna Rovšek, Milan Batista, Branko Bogunović
2014 Transport  
Moreover, using the Variable Importance Measure (VIM) the factor of influence of nine independent variables on the target variables were calculated.  ...  From both a practical and economic point of view, road transport meets almost all the requirements of modern life, but it is also a source of numerous negative effects, including traffic accidents.  ...  This followed the partial verification of hypothesis 1, that the key risk factors for traffic accidents with fatal injuries on Slovenian roads are drivers who drive arrogantly, carelessly and/ or ignore  ... 
doi:10.3846/16484142.2014.915581 fatcat:d2zqasgwcfbg3ofhwnnagmq7mi

RECOMMENDATION OF SENSORS FOR VEHICLES TO CONTROL ROAD ACCIDENTS

Aishwarya S. Patil
2017 International Journal of Advanced Research in Computer Science  
The Framework would be useful to reduce the road accidents and thereby saving human lives.  ...  The main idea of this work is to suggest sensors in the vehicles in order to reduce road accidents. The sensor are suggested by analyzing the input data give by the user.  ...  A PONMF algorithm also popularly known as partially ordered non-negative matrix factorization which is used to cluster the high risk accident prone areas.  ... 
doi:10.26483/ijarcs.v8i9.4898 fatcat:bmd43p3uuvfm5enbnc5sw36qgu

Integrated Fuzzy based Computational Mechanism for the Selection of Effective Malicious Traffic Detection Approach

Sultan H. Almotiri
2021 IEEE Access  
In addition, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was implemented in order to assess the order of preference.  ...  These invaders use overwhelming tactics that mask the nature of attacks and make bad acts seem innocuous.  ...  In addition, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was used to assess the order of preference.  ... 
doi:10.1109/access.2021.3050420 fatcat:vyorljkl7reupjkegy7cvy3e7q

Spatial Analysis for the Classification of Prone Roads Traffic Accidents: A Systematic Literature Review

2021 International Journal of Advanced Trends in Computer Science and Engineering  
Many researchers have reviewed many factors, spatial methods of analysis, and ways to improve past traffic strategies.  ...  methods, and the most commonly used efforts to determine in a collection of road traffic accidents.  ...  Model [151] Matrix Factorization-Based Framework, Feature-Based Matrix Factorization, Non-Negative Matrix Factorization, Feature-Based Non-Negative Matrix Factorization [12] Multinomial Logistic  ... 
doi:10.30534/ijatcse/2021/191022021 fatcat:rzxluugdljagbeu7f6453eiz6y

Knowledge discovery from road traffic accident data in Ethiopia: Data quality, ensembling and trend analysis for improving road safety

Beshah Tibebe, Ejigu Dejene, Abraham Ajith, Václav Snášel, Pavel Krömer
2012 Neural Network World  
Descriptive analyses of the magnitude and situation of road safety in general and road accidents in particular is important, but understanding of data quality, factors related with dangerous situations  ...  To identify relevant patterns and illustrate the performance of the techniques for the road safety domain, road accident data collected from Addis Ababa Traffic Office is exposed to several analyses.  ...  ACKNOWLEDGMENT The authors are grateful to the national and regional road traffic and road safety departments of Ethiopia for letting the researchers get access to the road traffic data, VSB-Technical  ... 
doi:10.14311/nnw.2012.22.013 fatcat:kf7uk5hsmvevzalgnykkxkcllu

A comparative study on machine learning based algorithms for prediction of motorcycle crash severity

Lukuman Wahab, Haobin Jiang, Yanyong Guo
2019 PLoS ONE  
Thus, the probable risk factors and association between these factors and motorcycle crash severity outcomes is not known.  ...  The main aim of this research is to evaluate and compare different approaches to modeling motorcycle crash severity as well as investigating the effect of risk factors on the injury outcomes of motorcycle  ...  Acknowledgments The authors would like to thank the staff of the Traffic and Transportation Division of the Building and Road Research of Council for Scientific and Industrial Research (BRRI-CSIR), Ghana  ... 
doi:10.1371/journal.pone.0214966 pmid:30947250 pmcid:PMC6448880 fatcat:hnwitmtzgvgtrnfon7vkqrox7y

Fatigue Risk Management: Assessing and Ranking the Factors Affecting the Degree of Fatigue and Sleepiness of Heavy-Vehicle Drivers Using TOPSIS and Statistical Analyses

Masoud Ghasemi Noughabi, Aliasghar Sadeghi, Abolfazl Mohammadzadeh Moghaddam, Morteza Jalili Qazizadeh
2019 Iranian Journal of Science and Technology Transactions of Civil Engineering  
by using statistical analysis and the technique for order of preference by similarity to ideal solution (TOPSIS).  ...  The statistical and TOPSIS results revealed that the first four factors that exert the strongest effects are inappropriate behaviors of passengers and goods owners, non-standard roads, inappropriate behaviors  ...  These values rank the categories of factors in order of strength of effects.  ... 
doi:10.1007/s40996-019-00320-9 fatcat:ydjtehqkdncb5paywemezocjgm

An Interpretable Aid Decision-Making Model for Flag State Control Ship Detention Based on SMOTE and XGBoost

Jian He, Yong Hao, Xiaoqiong Wang
2021 Journal of Marine Science and Engineering  
In this study, we propose a novel interpretable ship detention decision-making model based on machine learning, termed SMOTE-XGBoost-Ship detention model (SMO-XGB-SD), using the extreme gradient boosting  ...  In addition, the new algorithm also provides a reasonable interpretation of model performance and highlights the most important features for identifying ship detention using the Shapley additive explanations  ...  to be a negative example. (2) Binary confusion matrix.  ... 
doi:10.3390/jmse9020156 fatcat:fc7pl7lvhvgcngptsqa2i2hrnq

A Multi-Criteria Approach for the Evaluation of Low Risk Restoration Projects in Continuous Surface Lignite Mines

Philip-Mark Spanidis, Christos Roumpos, Francis Pavloudakis
2020 Energies  
The proposed method is a combination of the analytical hierarchy process (AHP) for the quantification of risk factors and the technique for order of preference by similarity to ideal solution (TOPSIS)  ...  This work provides an overview of practical risk management problems and solutions in mining restoration projects.  ...  Acknowledgments: The authors would like to thank Professor Zach Agioutantis, Department of Mining Engineering, University of Kentucky, for his constructive comments on this paper.  ... 
doi:10.3390/en13092179 fatcat:eokhxiunwff3znmxqz3ayjic2y

Identification of Soil Heavy Metal Sources in a Large-Scale Area Affected by Industry

Yuan Xu, Huading Shi, Yang Fei, Chao Wang, Li Mo, Mi Shu
2021 Sustainability  
Multiple methods were used for source identification, including positive matrix factorization (PMF) analysis combined with multiple other analyses, including random forest modeling, the geo-accumulation  ...  The mining industry was the most significant anthropogenic factor affecting the content of Cd, Pb and As in the whole area, with contribution rates of 87.7%, 88.5% and 62.5%, respectively, and the main  ...  The model decomposes the sampled data matrix (X) into a factor contribution matrix (G), factor component matrix (F) and residual matrix (E) [35] : X n×m = G n×p × F p×m + E n×m G ≥ 0, F ≥ 0 (2) where  ... 
doi:10.3390/su13020511 fatcat:v6zs2pxduvcehnhvs6akb75pmi

A Hybrid Stock Selection Model Based on Forecasting, Classification and Feature Selection

Shiliang Zhang, Tingcheng Chang
2016 International Journal of u- and e- Service, Science and Technology  
The nature of the non-negative matrix factorization (NMF) is very suitable for handling real-life non-negative data compared to other methods and it is easier to understand.  ...  A grey system is a partially known and partially unknown system. This system provides a method which uses only a few data just used to predict the next output from the plant.  ...  [32] presented in Fig formal Non-negative matrix factorization (Graph Regularized Non-negative Matrix Factorization, GNMF) to resolve this issue.  ... 
doi:10.14257/ijunesst.2016.9.6.15 fatcat:6xibuw336bcktmskoi2yjhgzsu

Why PPP Modeled Infrastructure Projects Failed:A Critical Review with a Special Focus on Road Sector

N. Srinivasa Reddy, Pankaj Sharma
2017 International Journal of Advanced engineering Management and Science  
This technical paper analyses the risk factors associated with PPP -toll operated road projects through case studies and suggested corrective measures like shadow tolling and hybrid models for restoration  ...  The reasons could be clearances on land and forest, non availability of aggregate due to ban on mining, or the financial risk or the cost overruns.  ...  Risk Factor in PPP:Risk is a threat or probability that an action or event will adversely or beneficially affect an organization's ability to achieve its objectives.  ... 
doi:10.24001/ijaems.3.4.8 fatcat:7fqr3esxsrf33jlxrjd3tu3bfe

ARIMA Model and Few-Shot Learning for Vehicle Speed Time Series Analysis and Prediction

Yingzi Wang, Ce Yu, Jue Hou, Sisi Chu, Yongjia Zhang, Yue Zhu, Xin Ning
2022 Computational Intelligence and Neuroscience  
The ARMA theory is used to model the prediction of speed time series.  ...  In the fields of traffic management, traffic health, and vehicle safety, vehicle speed prediction is an important research topic.  ...  Using the data collected by point traffic detectors, a short-term expressway travel time prediction method is mined. ey took into account the spatial and temporal changes of traffic data and made use of  ... 
doi:10.1155/2022/2526821 fatcat:6ivf2fijhzgn7eride4t4t52ny

A multi-level hypoglycemia early alarm system based on sequence pattern mining

Xia Yu, Ning Ma, Tao Yang, Yawen Zhang, Qing Miao, Junjun Tao, Hongru Li, Yiming Li, Yehong Yang
2021 BMC Medical Informatics and Decision Making  
The longest common subsequence was used to remove the common frequent sequence for achieving the hypoglycemia early alarm in different clinical situations.  ...  Methods Through symbolizing the historical CGM records, the Prefix Span was adopted to obtain the early alarm/non-alarm frequent sequence libraries of hypoglycemia events.  ...  Metrics used to assess each of the methodologies using metrics of a positive example classified as true positive (TP), negative example classified as true negative (TN), negative example classified as  ... 
doi:10.1186/s12911-021-01389-x pmid:33478490 fatcat:2uamtfmopjc3zh7ylu2skt52ki

Determination of Environmental Factors for the Implementation of the Exploitability Index in Industrial Aggregate Mining Using Multi-Criteria Analysis

Julio Manuel de Luis-Ruiz, Benito Ramiro Salas-Menocal, Gema Fernández-Maroto, Rubén Pérez-Álvarez, Raúl Pereda-García
2021 ISPRS International Journal of Geo-Information  
Geographic Information Systems (GISs) are applied, allowing us to map a large number of components of the environmental factors.  ...  The quality of human life is linked to the exploitation of mining resources. The Exploitability Index (EI) assesses the actual possibilities to enable a mine according to several factors.  ...  -Forest and livestock land (far from the nucleus). 2 -Non-urbanizable land with mining protection. -Non-urbanizable land with special mining-farming protection 2.  ... 
doi:10.3390/ijgi10040196 fatcat:3lnofhcsefgivbe277rgajzy2a
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