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Journal articles on the topic 'Safety functions'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Stavrianidis, Paris, and Kumar Bhimavarapu. "Safety instrumented functions and safety integrity levels (SIL)." ISA Transactions 37, no. 4 (September 1998): 337–51. http://dx.doi.org/10.1016/s0019-0578(98)00038-x.

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2

El-Basyouny, Karim, and Tarek Sayed. "Safety performance functions using traffic conflicts." Safety Science 51, no. 1 (January 2013): 160–64. http://dx.doi.org/10.1016/j.ssci.2012.04.015.

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3

Wieland, Peter, and Frank Allgöwer. "CONSTRUCTIVE SAFETY USING CONTROL BARRIER FUNCTIONS." IFAC Proceedings Volumes 40, no. 12 (2007): 462–67. http://dx.doi.org/10.3182/20070822-3-za-2920.00076.

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4

Lu, Jinyan, Kirolos Haleem, Priyanka Alluri, and Albert Gan. "Full versus Simple Safety Performance Functions." Transportation Research Record: Journal of the Transportation Research Board 2398, no. 1 (January 2013): 83–92. http://dx.doi.org/10.3141/2398-10.

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5

Fischhaber, Pamela M., and Bruce N. Janson. "Light Rail Crossing Safety Performance Functions." Transportation Research Record: Journal of the Transportation Research Board 2476, no. 1 (January 2015): 94–100. http://dx.doi.org/10.3141/2476-13.

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6

Stavrianidis, Paris, and Kumar Bhimavarapu. "Performance-based standards: safety instrumented functions and safety integrity levels." Journal of Hazardous Materials 71, no. 1-3 (January 2000): 449–65. http://dx.doi.org/10.1016/s0304-3894(99)00093-x.

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7

Jharko, Elena Ph. "Safety Functions and Software Verification of NPP Safety Important Systems." IFAC-PapersOnLine 52, no. 13 (2019): 1385–90. http://dx.doi.org/10.1016/j.ifacol.2019.11.392.

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8

Śliwiński, Marcin. "Safety integrity level verification for safety-related functions with security aspects." Process Safety and Environmental Protection 118 (August 2018): 79–92. http://dx.doi.org/10.1016/j.psep.2018.06.016.

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9

Lauxmann, Ralph, Alfred Eckert, Thomas Raste, and Andree Hohm. "From safety assistance functions to visionary and safety-enhancing mobility concepts." ATZ worldwide 120, S1 (August 2018): 64–69. http://dx.doi.org/10.1007/s38311-018-0087-7.

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10

Young, Jason, and Peter Y. Park. "Benefits of small municipalities using jurisdiction-specific safety performance functions rather than the Highway Safety Manual's calibrated or uncalibrated safety performance functions." Canadian Journal of Civil Engineering 40, no. 6 (June 2013): 517–27. http://dx.doi.org/10.1139/cjce-2012-0501.

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11

Dell’Acqua, Gianluca, and Francesca Russo. "Safety Performance Functions for Low-Volume Roads." Baltic Journal of Road and Bridge Engineering 6, no. 4 (December 15, 2011): 225–134. http://dx.doi.org/10.3846/bjrbe.2011.29.

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12

Sellers, Alex J., and Michael S. Schmidt. "Auditing IPLs-using safety critical functions manuals." Process Safety Progress 34, no. 3 (August 27, 2014): 228–36. http://dx.doi.org/10.1002/prs.11709.

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13

Das, Subasish, Ioannis Tsapakis, and Songjukta Datta. "Safety Performance Functions of Low-Volume Roadways." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 12 (September 15, 2019): 798–810. http://dx.doi.org/10.1177/0361198119853559.

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The Fixing America’s Surface Transportation Act (FAST Act) mandates a Highway Safety Improvement Program (HSIP) for all states that “emphasizes a data-driven, strategic approach to improving highway safety on all public roads that focuses on performance.” To determine the predicted crashes on a specific roadway facility, the most convenient and widely used tool is the first edition of Highway Safety Manual (HSM), which provides predictive models [known as safety performance functions (SPFs)] of crash frequencies for different roadways. Low-volume roads (LVRs) are defined as roads located in rural or suburban areas with daily traffic volumes of less than or equal to 400 vehicles per day (vpd). LVRs cover a significant portion of the roadways in the U.S. While much work has been done to develop SPFs for high-volume roads, less effort has been devoted to LVR safety issues. This study used 2013–2017 traffic count, and roadway network and crash data from North Carolina to develop six SPFs for three LVRs, which can be used to predict total crashes, as well as fatal and injury crashes. This study also performed a sensitivity analysis to show the influence of traffic volumes on expected crash frequencies. The SPFs developed in this study can provide guidance to state and local agencies with the means to quantify safety impacts on LVR networks.

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14

TAKAHASHI, Hiroshi. "G170014 Safety Functions for Power Drive System." Proceedings of Mechanical Engineering Congress, Japan 2012 (2012): _G170014–1—_G170014–4. http://dx.doi.org/10.1299/jsmemecj.2012._g170014-1.

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15

Montella, Alfonso, and Lella Liana Imbriani. "Safety performance functions incorporating design consistency variables." Accident Analysis & Prevention 74 (January 2015): 133–44. http://dx.doi.org/10.1016/j.aap.2014.10.019.

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16

Farid, Ahmed, Mohamed Abdel-Aty, Jaeyoung Lee, Naveen Eluru, and Jung-Han Wang. "Exploring the transferability of safety performance functions." Accident Analysis & Prevention 94 (September 2016): 143–52. http://dx.doi.org/10.1016/j.aap.2016.04.031.

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17

Matarage, Imalka C., and Sunanda Dissanayake. "Quality assessment between calibrated highway safety manual safety performance functions and calibration functions for predicting crashes on freeway facilities." Journal of Traffic and Transportation Engineering (English Edition) 7, no. 1 (February 2020): 76–87. http://dx.doi.org/10.1016/j.jtte.2019.12.001.

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18

Dang, D., and D. Cunnington. "Sleep Apnoea: Impact on safety and psychosocial functions." Indian Journal of Sleep Medicine 4, no. 3 (2009): 95–99. http://dx.doi.org/10.5005/ijsm-4-3-95.

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19

Harms-Ringdahl, Lars. "Analysis of safety functions and barriers in accidents." Safety Science 47, no. 3 (March 2009): 353–63. http://dx.doi.org/10.1016/j.ssci.2008.06.004.

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20

Hernier, Anne Marie, Christelle Froger-Colléaux, and Vincent Castagné. "CNS safety pharmacology: A focus on cognitive functions." Journal of Pharmacological and Toxicological Methods 81 (September 2016): 286–94. http://dx.doi.org/10.1016/j.vascn.2016.04.002.

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21

Davey, Martin. "Functions—How to Avoid a Dysfunctional Safety Analysis." Safety and Reliability 32, no. 3 (September 2012): 60–76. http://dx.doi.org/10.1080/09617353.2012.11690963.

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22

Maruyama, Kazuyuki, Takeshi Chiba, Tokujiro Kizaki, and Amira Horozovic. "Vehicle-To-X Functions For Improved Motorcycle Safety." Auto Tech Review 3, no. 8 (August 2014): 50–55. http://dx.doi.org/10.1365/s40112-014-0719-2.

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23

Sacchi, Emanuele, and Tarek Sayed. "Bayesian estimation of conflict-based safety performance functions." Journal of Transportation Safety & Security 8, no. 3 (June 13, 2015): 266–79. http://dx.doi.org/10.1080/19439962.2015.1030807.

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24

Kolathaya, Shishir, and Aaron D. Ames. "Input-to-State Safety With Control Barrier Functions." IEEE Control Systems Letters 3, no. 1 (January 2019): 108–13. http://dx.doi.org/10.1109/lcsys.2018.2853698.

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25

Caserza Magro, Micaela, Paolo Pinceti, Luca Rocca, and Giorgio Rossi. "Safety related functions with IEC 61850 GOOSE messaging." International Journal of Electrical Power & Energy Systems 104 (January 2019): 515–23. http://dx.doi.org/10.1016/j.ijepes.2018.07.033.

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26

Bardsley, Andrew S. "Defining and assessing safety functions performed by people." Cognition, Technology & Work 15, no. 1 (March 15, 2012): 13–18. http://dx.doi.org/10.1007/s10111-012-0214-y.

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27

Farid, Ahmed, Mohamed Abdel-Aty, and Jaeyoung Lee. "A new approach for calibrating safety performance functions." Accident Analysis & Prevention 119 (October 2018): 188–94. http://dx.doi.org/10.1016/j.aap.2018.07.023.

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28

Maruyama, Kazuyuki, Takeshi Chiba, Tokujiro Kizaki, and Amira Horozovic. "Vehicle-to-x Functions for More Motorcycle Safety." ATZ worldwide 116, no. 7-8 (July 2014): 24–29. http://dx.doi.org/10.1007/s38311-014-0202-3.

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29

Nordback, Krista, Wesley E. Marshall, and Bruce N. Janson. "Bicyclist safety performance functions for a U.S. city." Accident Analysis & Prevention 65 (April 2014): 114–22. http://dx.doi.org/10.1016/j.aap.2013.12.016.

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30

Weber, Nico, Dirk Frerichs, Ulrich Eberle, and Martin Herrmann. "Safety-relevant Test Scenarios for Automated Driving Functions." ATZ worldwide 123, no. 10 (September 24, 2021): 52–57. http://dx.doi.org/10.1007/s38311-021-0709-3.

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31

Ryan, Brendan, David Golightly, Laura Pickup, Sue Reinartz, Sarah Atkinson, and Nastaran Dadashi. "Human functions in safety - developing a framework of goals, human functions and safety relevant activities for railway socio-technical systems." Safety Science 140 (August 2021): 105279. http://dx.doi.org/10.1016/j.ssci.2021.105279.

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32

Chang, Shu-Hsuan, Der-Fa Chen, and Tsung-Chih Wu. "Developing a competency model for safety professionals: Correlations between competency and safety functions." Journal of Safety Research 43, no. 5-6 (December 2012): 339–50. http://dx.doi.org/10.1016/j.jsr.2012.10.009.

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33

El-Basyouny, Karim, and Tarek Sayed. "Measuring safety treatment effects using full Bayes non-linear safety performance intervention functions." Accident Analysis & Prevention 45 (March 2012): 152–63. http://dx.doi.org/10.1016/j.aap.2011.11.018.

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34

Baybutt, Paul. "Using risk tolerance criteria to determine safety integrity levels for safety instrumented functions." Journal of Loss Prevention in the Process Industries 25, no. 6 (November 2012): 1000–1009. http://dx.doi.org/10.1016/j.jlp.2012.05.016.

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35

Rajabalinejad, Mohammad. "Paradigm of Safety by Design." MATEC Web of Conferences 273 (2019): 01006. http://dx.doi.org/10.1051/matecconf/201927301006.

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Safety by design is a challenge not because designers are unwilling to design safe products or systems but because they focus on the creation of products that fulfil customer wishes as much as possible, and it is hard to focus on intended functions for a product and unintended functions or malfunctions at the same time. The paper highlights the ever-increasing safety challenges for designers, and it argues that safety must be an integral part of the design process.

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36

Li, Zongzhi, Hoang Dao, Harshingar Patel, Yi Liu, and Bei Zhou. "Incorporating Traffic Control and Safety Hardware Performance Functions into Risk-based Highway Safety Analysis." PROMET - Traffic&Transportation 29, no. 2 (April 19, 2017): 143–53. http://dx.doi.org/10.7307/ptt.v29i2.2041.

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Traffic control and safety hardware such as traffic signs, lighting, signals, pavement markings, guardrails, barriers, and crash cushions form an important and inseparable part of highway infrastructure affecting safety performance. Significant progress has been made in recent decades to develop safety performance functions and crash modification factors for site-specific crash predictions. However, the existing models and methods lack rigorous treatments of safety impacts of time-deteriorating conditions of traffic control and safety hardware. This study introduces a refined method for computing the Safety Index (SI) as a means of crash predictions for a highway segment that incorporates traffic control and safety hardware performance functions into the analysis. The proposed method is applied in a computation experiment using five-year data on nearly two hundred rural and urban highway segments. The root-mean square error (RMSE), Chi-square, Spearman’s rank correlation, and Mann-Whitney U tests are employed for validation.

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37

Wu, Tsung-Chih. "The roles and functions of safety professionals in Taiwan: Comparing the perceptions of safety professionals and safety educators." Journal of Safety Research 42, no. 5 (October 2011): 399–407. http://dx.doi.org/10.1016/j.jsr.2011.09.002.

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38

El-Basyouny, Karim, and Tarek Sayed. "Safety performance functions with measurement errors in traffic volume." Safety Science 48, no. 10 (December 2010): 1339–44. http://dx.doi.org/10.1016/j.ssci.2010.05.005.

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39

Li, James. "SIL Implementation on Safety Functions in Mass Transit System." International Journal of Mathematical, Engineering and Management Sciences 3, no. 3 (September 1, 2018): 258–70. http://dx.doi.org/10.33889/ijmems.2018.3.3-018.

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The concept of Safety Integrity Level (SIL) has been developed within different systems of standards (IEC 61508, EN50129 and DEF-STAN 00-56). These standards are applied in different areas: control technology (IEC 61508), railway technology (EN50128 and EN 50129), and defense technology (DEF-STAN-00-56). Nowadays, a lot of the mass transit turnkey projects around the world demand the contractors to follow CENELEC standards and SIL concept for the safety function implementation. Although the concept of SIL is mentioned in these standards, the interpretation of the concept of SIL in these standards is not consistent and unequivocal. This paper is written to elaborate the anomalies of SIL interpretation among these various standards in order for safety engineers to obtain a more detailed view on the concept of SIL over these standards.

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40

Wu, Zhongwang, and Shuren Xi. "Safety functions and component classification for the HTR-10." Nuclear Engineering and Design 218, no. 1-3 (October 2002): 103–10. http://dx.doi.org/10.1016/s0029-5493(02)00202-9.

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41

Mehta, Gaurav, and Yingyan Lou. "Calibration and Development of Safety Performance Functions for Alabama." Transportation Research Record: Journal of the Transportation Research Board 2398, no. 1 (January 2013): 75–82. http://dx.doi.org/10.3141/2398-09.

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42

Hashemi, Seyed Javad, Salim Ahmed, and Faisal Khan. "Loss functions and their applications in process safety assessment." Process Safety Progress 33, no. 3 (February 4, 2014): 285–91. http://dx.doi.org/10.1002/prs.11659.

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43

Farid, Ahmed, Mohamed Abdel-Aty, and Jaeyoung Lee. "Transferring and calibrating safety performance functions among multiple States." Accident Analysis & Prevention 117 (August 2018): 276–87. http://dx.doi.org/10.1016/j.aap.2018.04.024.

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44

Ibrahim, Shewkar El-Bassiouni, and Tarek Sayed. "Developing safety performance functions incorporating reliability-based risk measures." Accident Analysis & Prevention 43, no. 6 (November 2011): 2153–59. http://dx.doi.org/10.1016/j.aap.2011.06.006.

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45

Hatfield, Laura A., Christine M. Baugh, Vanessa Azzone, and Sharon-Lise T. Normand. "Regulator Loss Functions and Hierarchical Modeling for Safety Decision Making." Medical Decision Making 37, no. 5 (January 23, 2017): 512–22. http://dx.doi.org/10.1177/0272989x16686767.

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Background. Regulators must act to protect the public when evidence indicates safety problems with medical devices. This requires complex tradeoffs among risks and benefits, which conventional safety surveillance methods do not incorporate. Objective. To combine explicit regulator loss functions with statistical evidence on medical device safety signals to improve decision making. Methods. In the Hospital Cost and Utilization Project National Inpatient Sample, we select pediatric inpatient admissions and identify adverse medical device events (AMDEs). We fit hierarchical Bayesian models to the annual hospital-level AMDE rates, accounting for patient and hospital characteristics. These models produce expected AMDE rates (a safety target), against which we compare the observed rates in a test year to compute a safety signal. We specify a set of loss functions that quantify the costs and benefits of each action as a function of the safety signal. We integrate the loss functions over the posterior distribution of the safety signal to obtain the posterior (Bayes) risk; the preferred action has the smallest Bayes risk. Using simulation and an analysis of AMDE data, we compare our minimum-risk decisions to a conventional Z score approach for classifying safety signals. Results. The 2 rules produced different actions for nearly half of hospitals (45%). In the simulation, decisions that minimize Bayes risk outperform Z score–based decisions, even when the loss functions or hierarchical models are misspecified. Limitations. Our method is sensitive to the choice of loss functions; eliciting quantitative inputs to the loss functions from regulators is challenging. Conclusions. A decision-theoretic approach to acting on safety signals is potentially promising but requires careful specification of loss functions in consultation with subject matter experts.

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46

Rusko, Miroslav, and Dana Procházková. "Role of Process Models in Safety Management." Research Papers Faculty of Materials Science and Technology Slovak University of Technology 18, no. 28 (January 1, 2010): 131–39. http://dx.doi.org/10.2478/v10186-010-0016-0.

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Role of Process Models in Safety Management Management is a type of human activity that establishes and ensures the system functions. The process models and project models are currently used for management support. Main aim of the process model is to describe the possible development tendencies as a consequence of certain phenomenon and to define functions and role of functions. The process models enable to compile procedures and scenarios for the situations that have similar features. They are suitable for planning, response and renovation. In this paper, we present the risk management model used at present in professional practice, two simple models from daily practice and the evaluation of process models for crisis management.

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47

Cavero, Icilio, and Henry H. Holzgrefe. "18th Annual Meeting of the Safety Pharmacology Society: drug safety assessment on gastrointestinal system functions." Expert Opinion on Drug Safety 19, no. 1 (December 8, 2019): 19–22. http://dx.doi.org/10.1080/14740338.2020.1694902.

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48

Jiang, Meng Xia, and Guo Hua Jiang. "A Method for Software-Related Safety-Critical Scenarios Identification." Applied Mechanics and Materials 599-601 (August 2014): 1328–32. http://dx.doi.org/10.4028/www.scientific.net/amm.599-601.1328.

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Softwares is becoming increasingly important causes for failures of safety programmable electronic (PE) systems,PRA and CSRM both take it as an important risk contributor and respectively access risk of systems and software in system level.However they partly identify software-related risk scenarios ,and can’t tell what a software must do about all safety-critical conditions,i.e.,safety functions,especially warning functions for conditions software can’t control but must alarm operators to action immediately.Here we give a method to find all software-related safety-critical scenarios,through it all safety-critical conditions and the corresponding functions can be identified.

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49

Kazakov, A. S., E. V. Shubnikova, M. A. Darmostukova, I. I. Snegireva, G. V. Kutekhova, K. E. Zatolochina, N. Yu Velts, D. A. Kaperko, and Yu V. Olefir. "International Drug Safety Monitoring." Safety and Risk of Pharmacotherapy 7, no. 3 (September 17, 2019): 120–26. http://dx.doi.org/10.30895/2312-7821-2019-7-3-120-126.

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In the 1960s, following the Thalidomide Disaster, the World Health Organization (WHO) initiated the development of an international drug safety monitoring programme. The objectives of this WHO programme are to improve the quality and safety of pharmaceuticals, and to support public health programmes by providing information for effective assessment of the risk-benefit ratio of medicinal products. The paper outlines the main focus areas of the programme and the mechanism of interaction between the countries involved. It summarises the functions of the WHO Collaborating Centre for International Drug Monitoring located in Uppsala, namely, accumulation and assessment of data on efficacy, inefficacy and risks of medicinal products, which are communicated by the participating countries, and provision of reliable and coherent data to specialists. The paper provides a review of online resources and methods used by VigiBase — global database of adverse drug reactions — that make it possible to search and analyse the data statistically. It describes the functions of the national monitoring centres located in different regions, and their interaction with the WHO. The dissemination of objective and reliable medical information throughout the world, promotion of pharmacovigilance as a science, creation of international partnerships and pooling of expertise from different countries allow for a significant improvement in the safety of pharmacotherapy.

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50

Conchie, Stacey M., and Ian J. Donald. "The functions and development of safety-specific trust and distrust." Safety Science 46, no. 1 (January 2008): 92–103. http://dx.doi.org/10.1016/j.ssci.2007.03.004.

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