Moving horizon shared steering strategy for intelligent vehicle based on potential-hazard analysis

2019 ◽  
Vol 13 (3) ◽  
pp. 541-550 ◽  
Author(s):  
Jun Liu ◽  
Hong Chen ◽  
Hongyan Guo ◽  
Linhuan Song ◽  
Yunfeng Hu
Keyword(s):  
Hazard Analysis ◽  
Intelligent Vehicle ◽  
Potential Hazard

scholarly journals Risk Assessment of An Earthquake-Collapse-Landslide Disaster Chain by Bayesian Network and Newmark Models

2019 ◽  
Vol 16 (18) ◽  
pp. 3330 ◽  
Author(s):  
Lina Han ◽  
Qing Ma ◽  
Feng Zhang ◽  
Yichen Zhang ◽  
Jiquan Zhang ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Bayesian Network ◽  
Evaluation Method ◽  
Hazard Analysis ◽  
Formation Mechanisms ◽  
Potential Hazard ◽  
Permanent Displacement ◽  
Earthquake Disaster ◽  
Disaster Chain ◽  
Landslide Disaster

Severe natural disasters and related secondary disasters are a huge menace to society. Currently, it is difficult to identify risk formation mechanisms and quantitatively evaluate the risks associated with disaster chains; thus, there is a need to further develop relevant risk assessment methods. In this research, we propose an earthquake disaster chain risk evaluation method that couples Bayesian network and Newmark models that are based on natural hazard risk formation theory with the aim of identifying the influence of earthquake disaster chains. This new method effectively considers two risk elements: hazard and vulnerability, and hazard analysis, which includes chain probability analysis and hazard intensity analysis. The chain probability of adjacent disasters was obtained from the Bayesian network model, and the permanent displacement that was applied to represent the potential hazard intensity was calculated by the Newmark model. To validate the method, the Changbai Mountain volcano earthquake–collapse–landslide disaster chain was selected as a case study. The risk assessment results showed that the high-and medium-risk zones were predominantly located within a 10 km radius of Tianchi, and that other regions within the study area were mainly associated with very low-to low-risk values. The verified results of the reported method showed that the area of the receiver operating characteristic (ROC) curve was 0.817, which indicates that the method is very effective for earthquake disaster chain risk recognition and assessment.

Potential hazard analysis and risk assessment of debris flow by fuzzy modeling

2012 ◽  
Vol 64 (1) ◽  
pp. 273-282 ◽  
Author(s):  
Jeng-Wen Lin ◽  
Cheng-Wu Chen ◽  
Cheng-Yi Peng
Keyword(s):  
Risk Assessment ◽  
Debris Flow ◽  
Hazard Analysis ◽  
Fuzzy Modeling ◽  
Potential Hazard

scholarly journals Earthquake Potential Hazard Analysis of Palembang City, Sumatra Island

2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Wahyu Triyoso ◽  
Aris Suwondo ◽  
Zael Yahd Xanggam Naibaho
Keyword(s):  
Hazard Analysis ◽  
Potential Hazard ◽  
Sumatra Island ◽  
Earthquake Potential

scholarly journals Penggunaan Job Hazard Analysis dalam Identifikasi Risiko Keselamatan Kerja pada Pengrajin Logam

2018 ◽  
Vol 2 (4) ◽  
pp. 510-519
Author(s):  
Al Asyhar Aahyu Azady ◽  
Evi Widowati ◽  
Sri Ratna Rahayu
Keyword(s):  
Risk Assessment ◽  
High Risk ◽  
Occupational Diseases ◽  
Hazard Analysis ◽  
Potential Hazard ◽  
Potential Danger ◽  
Analysis Method ◽  
Workplace Injuries ◽  
Work Accident ◽  
And Control

Abstrak Setiap tempat kerja selalu mempunyai risiko kemungkinan terjadinya kecelakaan dan penyakit akibat kerja. Pada tahun 2013 telah terjadi 406 kasus kecelakaan kerja di Kabupaten Boyolali, 372 pekerja (91,6%) berhasil sembuh, 25 pekerja (6,1%) sementara tidak mampu bekerja, 4 pekerja (0,9%) mengalami cacat, dan 5 pekerja (1,2%) meninggal dunia. Insiden kecelakaan dan cedera di tempat kerja dapat dikurangi dengan penggunaan Job Hazard Analysis. Penelitian ini dilaksanakan pada tahun 2018. Tujuan dari penelitian ini adalah untuk mengetahui potensi bahaya serta pengendalian yang tepat pada industri logam UD. A&D dengan metode Job Hazard Analysis. Jenis penelitian ini adalah deskriptif kualitatif dengan pendekatan observasional. Hasil penelitian menunjukkan terdapat 46 bahaya dan 82 risiko yang teridentifikasi. Hasil penilaian risiko terdapat 24 (29,6%) risiko rendah, 27 (32,9%) risiko sedang dan risiko tinggi berjumlah 31 (37,8%). Hasil penilaian dan pengendalian risiko dirancang dalam bentuk form Job Hazard Analysis. Kesimpulan penelitian ini adalah potensi bahaya yang ada belum dilakukan pengendalian secara optimal.   Abstract Each workplace always has a risk of possible accidents and occupational diseases. In 2013 there were 406 work accident cases in Boyolali District, 372 workers (91.6%) recovered, 25 workers (6.1%) were unable to work, 4 workers (0.9%) were disabled, and 5 workers (1.2%) died. Incidents of accidents and workplace injuries can be reduced by the use of Job Hazard Analysis. This research was conducted in 2018. The purpose of this research is to know the potential danger and proper control on UD metal industry. A & D with Job Hazard Analysis method. The type of this research is descriptive qualitative with observational approach.The results showed 46 hazards and 82 identified risks. Risk assessment results were 24 (29.6%) low risk, 27 (32.9%) medium and high risk 31 (37.8%). The results of risk assessment and control are designed in the form of Job Hazard Analysis form. The conclusion of this research is the potential hazard that has not been done optimally.  

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