scholarly journals Analyzing vehicle–pedestrian interactions: Combining data cube structure and predictive collision risk estimation model

2022 ◽  
Vol 165 ◽  
pp. 106539
Author(s):  
Byeongjoon Noh ◽  
Hansaem Park ◽  
Hwasoo Yeo
2021 ◽  
Vol 9 (5) ◽  
pp. 538
Author(s):  
Jinwan Park ◽  
Jung-Sik Jeong

According to the statistics of maritime collision accidents over the last five years (2016–2020), 95% of the total maritime collision accidents are caused by human factors. Machine learning algorithms are an emerging approach in judging the risk of collision among vessels and supporting reliable decision-making prior to any behaviors for collision avoidance. As the result, it can be a good method to reduce errors caused by navigators’ carelessness. This article aims to propose an enhanced machine learning method to estimate ship collision risk and to support more reliable decision-making for ship collision risk. In order to estimate the ship collision risk, the conventional support vector machine (SVM) was applied. Regardless of the advantage of the SVM to resolve the uncertainty problem by using the collected ships’ parameters, it has inherent weak points. In this study, the relevance vector machine (RVM), which can present reliable probabilistic results based on Bayesian theory, was applied to estimate the collision risk. The proposed method was compared with the results of applying the SVM. It showed that the estimation model using RVM is more accurate and efficient than the model using SVM. We expect to support the reasonable decision-making of the navigator through more accurate risk estimation, thus allowing early evasive actions.


2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
H Odesjo ◽  
S Bjorck ◽  
P Hjerpe ◽  
K Manhem ◽  
A Rosengren ◽  
...  

Abstract Introduction The preventive effect of lipid lowering treatment in secondary prevention after coronary heart disease (CHD) is well documented. In 2015, regional guidelines recommend an LDL cholesterol of ≤1.8 mmol/L for patients with established CHD but the adherence to these guidelines is low. Purpose Our aim was to predict potential reductions in cardiovascular disease (CVD) events defined as acute myocardial infarction or stroke if patients: 1) with low-dose/less potent or no statin were treated with Atorvastatin 80 mg, or 2) all reached LDL ≤1.8 mmol/L. Methods In total, 37 120 patients with established CHD in a primary care regional register 2015 were studied. Predicted number of CVD events were calculated with actual treatment, with improved treatment and with lowered LDL. For risk estimation we used data from a Cox Proportional Hazards risk estimation model based on patients from 2010 (n=52 042) in combination with data from the literature on effect of statin treatment and LDL reduction. A risk reduction of 22% for CVD events per 1 mmol/L reduction in LDL was used in our model. The risk prediction model included age, sex, diabetes mellitus, a history of heart failure and/or atrial fibrillations, treatment with acetylic salicylic acid and stroke or AMI past year. Smoking and BMI were excluded due to missing data but sensitivity analysis has shown only small differences in results. Results In total, 18% of included patients reached LDL ≤1.8 mmol/L and 32% had no statin treatment. Based on actual LDL levels and treatments, the predicted number of CVD events over 5 years was 9209/37120. If all patients with no statin or less potent statin treatment had been given atorvastatin 80 mg this would lead to a reduction of CVD events by 14% (7901 vs 9209). The largest gain, 33% reduction, occurred when adding statins to patients without previous treatment (1970 vs 2937). Furthermore, if all patients were to reach LDL ≤1.8 mmol/L the predicted number of events would be reduced by 18% (7577 vs 9209). Conclusion There is a substantial potential to reduce the number of CVD events in the large population of patients with established CHD in primary care by improved adherence to lipid treatment guidelines. Acknowledgement/Funding Närhälsan R&D Health Care, R&D Centre Gothenburg and Södra Bohuslän. the Swedish state under the Agreement concerning research and education of doctor


2012 ◽  
Vol 94 (6) ◽  
pp. 2091-2095 ◽  
Author(s):  
Andrzej Kansy ◽  
Jeffrey P. Jacobs ◽  
Andrzej Pastuszko ◽  
Małgorzata Mirkowicz-Małek ◽  
Małgorzata Manowska ◽  
...  

1992 ◽  
Vol 45 (1) ◽  
pp. 91-106 ◽  
Author(s):  
D. Harrison ◽  
G. Moek

This paper is the second of a series of three papers, documenting the European studies into the feasibility of 1000 ft vertical separation minima above FL290. The paper discusses the vertical collision risk estimation methodology and an assessment of the collision risk against a target level of safety.The analysis indicates the technical feasibility of a reduced vertical separation minima in the North Atlantic Region. However, for current operations and technical performance within European continental airspace, the risk estimation indicates that a 1000 ft minima is not technically feasible.The contents of this paper reflect the views of the authors concerned; they do not necessarily reflect the official views or policy of the CAA or NLR.


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