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Relevant bibliographies by topics / Accidents estimation model

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Academic literature on the topic 'Accidents estimation model'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Accidents estimation model"

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Antić, Boris, Milan Vujanić, Krsto Lipovac, and Dalibor Pešić. "ESTIMATION OF THE TRAFFIC ACCIDENTS COSTS IN SERBIA BY USING DOMINANT COSTS MODEL." TRANSPORT 26, no. 4 (2012): 433–40. http://dx.doi.org/10.3846/16484142.2011.635425.

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This paper presents estimation of the traffic accident costs in Serbia, based on original dominant costs model. Dominant costs model uses human capital approach and this model is developed for simple and quick calculation of the traffic accidents costs, because other simple methods as 1 million rules, are not suitable for estimation of the traffic accident costs in the countries with a low GDP per capita. Knowing the costs of traffic accidents is of crucial importance for establishing traffic safety to the level defined by the size of costs made as a consequence of unsafely. So, politicians, d

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Ge, Huimin, Lei Dong, Mingyue Huang, Wenkai Zang, and Lijun Zhou. "Adaptive Kernel Density Estimation for Traffic Accidents Based on Improved Bandwidth Research on Black Spot Identification Model." Electronics 11, no. 21 (2022): 3604. http://dx.doi.org/10.3390/electronics11213604.

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At present, the total length of accident blackspot accounts for 0.25% of the total length of the road network, while the total number of accidents that occurred at accident black spots accounts for 25% of the total number of accidents on the road network. This paper describes a traffic accident black spot recognition model based on the adaptive kernel density estimation method combined with the road risk index. Using the traffic accident data of national and provincial trunk lines in Shanghai and ArcGIS software, the recognition results of black spots were compared with the recognition results

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Jia, Linsheng, Yapeng Yang, Renze Wang, Zongyang Feng, Ning Wang, and Boning Liang. "Emergency evaluation model for nuclear criticality accidents of uranium enrichment facility." IOP Conference Series: Earth and Environmental Science 983, no. 1 (2022): 012070. http://dx.doi.org/10.1088/1755-1315/983/1/012070.

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Abstract Accident emergency evaluation technology is an important part of emergency preparedness and response for nuclear critical accidents. Moreover, emergency management also requires that facility with potential nuclear criticality accidents should have the emergency evaluation capability of the accident, so it can provide auxiliary decision support for early emergency decision-making. The paper introduces the emergency evaluation model for nuclear criticality accident of uranium enrichment facilities, including criticality fission number estimation, released source term estimation and dos

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Meng, Yunwei. "Estimation of Crash Severity on Mountainous Freeways in Chongqing." Mathematical Problems in Engineering 2017 (2017): 1–8. http://dx.doi.org/10.1155/2017/9764309.

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Mountainous freeways always suffer from accidents due to special terrain, weather conditions, driving environment, and so on. Based on the records of 898 accidents that occurred on mountainous freeways in Chongqing during the past 6 years, the partial proportional odds model is used to identify the factors affecting the accident severity. The time of the accident, season, involvement of trucks, accident characteristics, speeding, maximum driving experience of involved drivers, and weather and road conditions are found to be important for the levels of accident severity. Zero to 6 a.m. and 19 t

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Wu, Bing, Tsz Leung Yip, Xinping Yan, and Zhe Mao. "A Mutual Information-Based Bayesian Network Model for Consequence Estimation of Navigational Accidents in the Yangtze River." Journal of Navigation 73, no. 3 (2019): 559–80. http://dx.doi.org/10.1017/s037346331900081x.

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Navigational accidents (collisions and groundings) account for approximately 85% of mari-time accidents, and consequence estimation for such accidents is essential for both emergency resource allocation when such accidents occur and for risk management in the framework of a formal safety assessment. As the traditional Bayesian network requires expert judgement to develop the graphical structure, this paper proposes a mutual information-based Bayesian network method to reduce the requirement for expert judgements. The central premise of the proposed Bayesian network method involves calculating

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Dinnullah, R. N. I., S. Abusini, R. Fitriani, and Marjono. "Application of Generalized Poisson Regression for the development of modeling motorcycle accidents based on rider characteristics." Journal of Physics: Conference Series 2634, no. 1 (2023): 012007. http://dx.doi.org/10.1088/1742-6596/2634/1/012007.

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Abstract Motorcycles are a mode of transportation that has experienced many traffic accidents in developing countries. This incident can occur intentionally or not and cause great loss of life and property. Therefore, this work aims to develop a model of the number of motorcycle accidents based on driver characteristics using Generalized Poisson Regression in East Java Province, Indonesia. The modeling can identify the relationship between the number of motorcycle accidents with variables that contribute to accident based on driver characteristics. This characteristic is a combination of socio

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Milyardi, Roi, Cindrawaty Lesmana, Michael Kristian Satyana, Celia Padmanindita, Egi Gustian, and Bunga Olivia Verel. "UTILIZATION OF BIM MODEL FOR OSH COST ESTIMATION ON LOW AND MEDIUM RISE BUILDING PROJECTS." ASEAN Engineering Journal 15, no. 2 (2025): 175–82. https://doi.org/10.11113/aej.v15.22259.

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The Occupational Safety and Health (OSH) accident in Indonesia has reached its highest level in five years. The development of OSH cost includes the project budget to reduce accidents. Building Information Modeling (BIM) can detect potential causes of accidents prior to the construction starts so that the accident can be reduced. Many utilizations of BIM in OSH focus on planning and prevention rather than on OSH cost estimation. This study aims to conduct OSH cost component estimation using BIM for a building project in Indonesia. Two projects in the planning phase, tower building and warehous

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Ye, Qing, Yi Li, Wenzhe Shen, and Zhaoze Xuan. "Division and Analysis of Accident-Prone Areas near Highway Ramps Based on Spatial Autocorrelation." Sustainability 15, no. 10 (2023): 7942. http://dx.doi.org/10.3390/su15107942.

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This study focuses on identifying accident-prone areas and analyzing the factors contributing to the distribution of traffic accidents near highway ramps. A combined method of kernel density estimation, spatial autocorrelation analysis, and multivariate logistic regression analysis helped to identify accident hotspots. Through data collection and analysis, the clustering characteristics of traffic accidents in the diversion and merging areas were identified. Four levels of accident-prone areas were divided according to the accident rates. The factors influencing the spatial distribution of acc

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Zhang, Yue, Yajie Zou, Lingtao Wu, Jinjun Tang, and Malik Muneeb Abid. "Exploring the Application of the Linear Poisson Autoregressive Model for Analyzing the Dynamic Impact of Traffic Laws on Fatal Traffic Accident Frequency." Journal of Advanced Transportation 2020 (October 9, 2020): 1–9. http://dx.doi.org/10.1155/2020/8854068.

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Annual fatal traffic accident data often demonstrate time series characteristics. The existing traffic safety analysis approaches (e.g., negative binomial (NB) model) often cannot accommodate the dynamic impact of factors in fatal traffic accident data and may result in biased parameter estimation results. Thus, a linear Poisson autoregressive (PAR) model is proposed in this study. The objective of this study is to apply the PAR model to analyze the dynamic impact of traffic laws and climate on the frequency of fatal traffic accidents occurred in a large time span (from 1975 to 2016) in Illino

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Zhang, Yunfei, Zhengrui Pan, Fangqi Zhu, Chaoyang Shi, and Xue Yang. "Quantitative Estimation and Analysis of Spatiotemporal Delay Effects in Expressway Traffic Accidents." ISPRS International Journal of Geo-Information 13, no. 11 (2024): 407. http://dx.doi.org/10.3390/ijgi13110407.

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Expressway traffic accidents often result in severe congestion, with their unpredictable nature complicating timely and effective response measures. This paper presents a comprehensive method for accurately estimating and analyzing the spatiotemporal delay effects of expressway accidents through the integration of multi-source geographic data. The innovation lies in utilizing real-world vehicle trajectory data, combined with a Traffic Performance Index (TPI), to quantitatively assess delay impacts. By applying spatial clustering and hotspot detection techniques, we investigate the distribution

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Dissertations / Theses on the topic "Accidents estimation model"

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SUN, LIAOMING. "ESTIMATING THE UNINSURED COSTS OF WORK-RELATED ACCIDENTS." University of Cincinnati / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1116262472.

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Kim, Do-Gyeong. "Multivariate Analysis of Accident Related Outcomes with Respect to Contemporaneous Correlation and Endogeneity: Application of Simultaneous Estimation Techniques." Diss., The University of Arizona, 2006. http://hdl.handle.net/10150/193662.

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Motor vehicle crashes have increasingly become a serious concern for highway safety engineers and transportation agencies over the past few decades. This serious concern has led to a great deal of research activities. One of these activities is to develop safety analysis tools, specifically crash prediction models, for the purpose of reducing crashes and enhancing highway safety.Crash prediction models based on statistical or econometric modeling techniques are used for a variety of purposes; most commonly to estimate the expected crash frequencies from various roadway entities (highways, inte

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Gassama, Malamine. "Estimation du risque attribuable et de la fraction préventive dans les études de cohorte." Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLV131/document.

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Le risque attribuable (RA) mesure la proportion de cas de maladie qui peuvent être attribués à une exposition au niveau de la population. Plusieurs définitions et méthodes d'estimation du RA ont été proposées pour des données de survie. En utilisant des simulations, nous comparons quatre méthodes d'estimation du RA dans le contexte de l'analyse de survie : deux méthodes non paramétriques basées sur l'estimateur de Kaplan-Meier, une méthode semi-paramétrique basée sur le modèle de Cox à risques proportionnels et une méthode paramétrique basée sur un modèle à risques proportionnels avec un risqu

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Camacho, Torregrosa Francisco Javier. "DEVELOPMENT AND CALIBRATION OF A GLOBAL GEOMETRIC DESIGN CONSISTENCY MODEL FOR TWO-LANE RURAL HIGHWAYS, BASED ON THE USE OF CONTINUOUS OPERATING SPEED PROFILES." Doctoral thesis, Universitat Politècnica de València, 2015. http://hdl.handle.net/10251/48543.

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Road safety is one of the most important problems in our society. It causes hundreds of fatalities every year worldwide. A road accident may be caused by several concurrent factors. The most common are human and infrastructure. Their interaction is important too, which has been studied in-depth for years. Therefore, there is a better knowledge about the driving task. In several cases, these advances are still not included in road guidelines. Some of these advances are centered on explaining the underlying cognitive processes of the driving task. Some others are related to the analysis o

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Lin, Chun-hung, and 林峻弘. "A Study on Riding Speed Estimation Model for Motorcycle Accidents Authentication." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/81784466099104980527.

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碩士<br>龍華科技大學<br>工程技術研究所<br>97<br>Motorcycle is the most popular transportation in Taiwan due to its convenience, so the possibility of the accident occurrence is relatively high. To re-establish the motorcycle accident scene, the riding speed estimation is one of the important elements to examine the cause of the accident. From the literature review, the United States Department of Transportation, National Highway Traffic Safety Administration (NHSTA) has obtained a primary result at the stopping distance of Heavy-type motorcycles (250c.c. above), but not many researches are examining the rela

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Pai, Shun-Hao, and 白舜豪. "Integrated Models for Estimating Accident-Induced Delays, Energy Consumptions and Emissions." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/10472212268973425689.

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碩士<br>國立交通大學<br>運輸與物流管理學系<br>103<br>Road traffic accidents cause not only internal costs of fatalities, injuries and property damage, but also the external costs, such as delays, energy consumption and emissions. Numerous studies have been conducted to estimate the internal cost of accidents. However, few studies further attempt to estimate the external cost. Based on this, this study aims to propose traffic flow models to estimate accident-induced delays, energy consumption and emissions. The proposed model integrates traffic flow, energy consumption and emission models with the consideration

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Lin, Hsin-Hua, and 林欣樺. "Estimating the Effect of Air Pollution on Car Accident Using Poisson Regression Model." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/6aru23.

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碩士<br>國立中興大學<br>統計學研究所<br>106<br>This paper uses Poisson Regression Model to explore the impact of pollutants in the air on traffic accidents. The air pollutants we explore are ozone, nitrogen dioxide, sulfur dioxide, carbon monoxide, suspended particulate matter, and suspension of fine particles. Data source is from Environmental Protection Administration Executive Yuan, R.O.C. We discussed in two directions: first situation is to divide a day into working hours and off-duty time, and second situation is to divide the year into four seasons. Then using Poisson Regression Models estimate the p

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Santos, Filipa Pereira dos. "Avaliação do Desempenho da Infraestrutura Rodoviária em termos de Segurança Recorrendo a Modelos de Previsãode Acidentes." Master's thesis, 2018. http://hdl.handle.net/10316/84881.

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Dissertação de Mestrado Integrado em Engenharia Civil apresentada à Faculdade de Ciências e Tecnologia<br>A sinistralidade rodoviária é uma temática que tem vindo a justificar o desenvolvimento de investigação ao longo das últimas décadas, devido ao impacto que tem na sociedade. A OMS refere que 1,25 milhões de pessoas morrem, todos os anos, em acidentes rodoviários, considerando este fenómeno um problema de saúde pública. Vários fatores influenciam a segurança das estradas, sendo um deles o fator humano, o qual rege-se por leis aleatórias difíceis de controlar. Contudo, também a rede rodoviár

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Books on the topic "Accidents estimation model"

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Levitt, Steven D. Estimating the effect of alcohol on driver risk using only fatal accident statistics. National Bureau of Economic Research, 1999.

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Levitt, Steven D. Estimating the effect of alcohol on driver risk using only fatal accident statistics. American Bar Foundation, 1997.

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Stewart, J. Richard. Estimation of the effects of changes in drinking and driving laws on alcohol related automobile crashes. University of North Carolina, Highway Safety Research Center, 1985.

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New Zealand. Land Transport Safety Authority. Safety directions: Estimating effects of interventions on road safety outcomes to 2010. Land Transport Safety Authority, 2000.

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RADTRAD, a simplified model for R̲A̲D̲ionuclide T̲ransport and R̲emoval A̲nd D̲ose estimation. Division of Systems Analysis and Regulatory Effectiveness, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1999.

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Alonso, A., J. M. Bur<162>n, and S. Fern<160>ndez. Development of a Kinetic Model, Including Rate Constant Estimations, on Iodine and Caesium Behaviour in the Primary Circuit of LWR's Under Accident Conditions. European Communities / Union (EUR-OP/OOPEC/OPOCE), 1991.

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Book chapters on the topic "Accidents estimation model"

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Lee, Seung-Yong, Ho-Jong Lee, and Gi-Woo Kim. "Black Ice Detection Based on Tire Friction Coefficient Estimation of Vehicle Longitudinal Model." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70392-8_46.

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AbstractBlack ice is a deadly hazard on the road because it is visually transparent and difficult to identify by driver’s naked eye while driving. Because tire friction on a black icy road surface is obviously smaller than normal road, the braking distance significantly increases and leads to severe traffic accidents. Road hazard detection such as black ice has been actively attempted so far, usually focusing on methodology using intelligent vision systems (e. g., cameras). However, current image-based methods are prone to reduced low accuracy due to their susceptibility to vibrations transmit

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Quoc Tran, Dai, Yuntae Jeon, Seongwoo Son, Minsoo Park, and Seunghee Park. "Identifying Hazards in Construction Sites Using Deep Learning-Based Multimodal with CCTV Data." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Firenze University Press, 2023. http://dx.doi.org/10.36253/10.36253/979-12-215-0289-3.61.

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The use of closed-circuit television (CCTV) for safety monitoring is crucial for reducing accidents in construction sites. However, the majority of currently proposed approaches utilize single detection models without considering the context of CCTV video inputs. In this study, a multimodal detection, and depth map estimation algorithm utilizing deep learning is proposed. In addition, the point cloud of the test site is acquired using a terrestrial laser scanning scanner, and the detected object's coordinates are projected into global coordinates using a homography matrix. Consequently, the ef

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Quoc Tran, Dai, Yuntae Jeon, Seongwoo Son, Minsoo Park, and Seunghee Park. "Identifying Hazards in Construction Sites Using Deep Learning-Based Multimodal with CCTV Data." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Firenze University Press, 2023. http://dx.doi.org/10.36253/979-12-215-0289-3.61.

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The use of closed-circuit television (CCTV) for safety monitoring is crucial for reducing accidents in construction sites. However, the majority of currently proposed approaches utilize single detection models without considering the context of CCTV video inputs. In this study, a multimodal detection, and depth map estimation algorithm utilizing deep learning is proposed. In addition, the point cloud of the test site is acquired using a terrestrial laser scanning scanner, and the detected object's coordinates are projected into global coordinates using a homography matrix. Consequently, the ef

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Naznin, P. H. Sumayya, V. G. Anandu, Leena Samuel Panackel, and A. U. Ravishankar. "Estimation of Willingness to Pay for Reducing Road Accident Risk Using Route Choice Model." In Lecture Notes in Civil Engineering. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12011-4_91.

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Wang, Q., Y. Feng, D. Wu, and W. Gao. "Non-probabilistic Informed Structural Health Assessment with Virtual Modelling Technique." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3330-3_38.

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AbstractIn real-life engineering, non-probabilistic structural information is very common in many and varied disciplines. This class of information is characterized by incompleteness and imprecision, such as interval, fuzzy sets, etc. Non-probabilistic structural information can be reflected in the structural performance and cause it to fluctuate within a specific range, instead of being deterministic. Thus, without appropriate consideration of non-probabilistic information, serious or even disastrous accidents may occur. Therefore, fully estimating the structural health status using non-proba

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Wang, Xuelian, Ziwen Zhang, Hui Li, et al. "Research on the Prediction of Traffic Accident Severity Based on BP Neural Network." In Advances in Transdisciplinary Engineering. IOS Press, 2022. http://dx.doi.org/10.3233/atde221138.

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A traffic accident severity prediction study is an estimation of the expected future traffic accidents in combination with available data. One of the core objectives of this study is to predict the number and severity of possible traffic accidents so that optimal solutions can be taken in case of accidents. In this study, we propose a research method for traffic accident severity prediction based on BP neural network. Firstly, we perform principal component analysis on accident causative factors to determine the input and output factors of BP neural network; then we analyze the principle of ne

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Antonio, Saúl, Obregón Biosca, José Luis Reyes Araiza, and Miguel Angel Pérez Lara y Hernández. "Probability to be Involved in a Road Accident: Transport User Socioeconomic Approach." In Applied Probability Theory - New Perspectives, Recent Advances and Trends [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.106325.

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Road education is one of the most relevant issues focused to reduce traffic accidents, so it is important to analyze the driver’s behavior on the roads. International research has found evidence for a relationship between socioeconomic characteristics and traffic accidents. In this sense, the chapter shows a methodology to estimate the probability to be involved in a road accident, considering the road education and the socioeconomic characteristics of the population of a specific region, taking the Santiago de Querétaro city (in México) as a study case. Through a logit model estimation and a

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Wu, Guohua, Xiaoqing Chen, Jiyao Yin, et al. "Framework of Electrical Fire Probability Estimation Based on Bayesian Network Model Inference." In Advances in Transdisciplinary Engineering. IOS Press, 2021. http://dx.doi.org/10.3233/atde210313.

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Electrical fire had become one of the main parts in total fire accidents. Most of researches rely on the complex combustion models, which consume a huge number of computational resources. However, few studies focus on evaluating fire disaster by probability theory, and estimate the likelihood of fire occurring by the calculation result of probability based on the current data from the sensor. Bayesian Network is introduced due to the advantage of calculation complexity, ability of expressing uncertain factors and the accuracy of model with incomplete data. Some problems should be solved before

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Antônio Sabará, Marco, Jose Antônio da Cunha Ponciano Gomes, and Alysson Helton Santos Bueno. "Enhancing Pipeline Reliability: A Structural Integrity Management Approach Using Minimal Cut Set Method and Importance Measures." In Product Lifecycle Management [Working Title]. IntechOpen, 2025. https://doi.org/10.5772/intechopen.1008391.

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Gas pipelines are fundamental structures for transporting energy resources. Their integrity is constantly threatened by failures caused by potential punctures or ruptures, leading to gas releases, which can have significant consequences for the installation, people, and the environment. Various methodologies have been proposed to improve Pipeline Structural Integrity Management (PSIM) processes. In this work, a model for estimating the probability of gas release failure is proposed using a Quantitative Fault Tree Analysis (QFTA) approach. The Minimum Cut Set (MCS) technique is applied along wi

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Fridstrøm, Lasse. "The Irposkml procedure of estimation." In Structural Road Accident Models. Elsevier, 2000. http://dx.doi.org/10.1016/b978-008043061-4/50015-3.

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Conference papers on the topic "Accidents estimation model"

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Jang, Siho, Juryong Park, and Eung Kim. "Multiple Radionuclides Source Term Estimation for Nuclear Accidents Based on Gaussian Puff Model and Ensemble Kalman Inversion." In 2024 International Congress on Advances in Nuclear Power Plants (ICAPP). American Nuclear Society, 2024. http://dx.doi.org/10.13182/t130-44172.

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Tricard, Pierre, Sheng Fang, Jianlong Wang, et al. "Fast On-Line Source Term Estimation of Non-Constant Releases in Nuclear Accident Scenario Using Extended Kalman Filter." In 2013 21st International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/icone21-15125.

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In nuclear accidents, source estimation methods can be used to assess the amount and status of radioactive materials emission, which is important for nuclear emergency response. Current studies primarily focus on source estimation of a constant release mode, which may not match real nuclear accident scenario. To solve this problem, a fast on-line source term estimation method for non-constant release mode was proposed in this study. Based on the well-established RIMPUFF dispersion model, the extended Kalman filter algorithm was utilized to perform an online estimation of the total amount and h

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Feng, Shi, Zichen Wang, Shaoweihua Liu, Feng Wang, Yujie Zhang, and Xi Luo. "Risk Assessment Model for Highway Accidents Using Bayesian Random-Parameters Regression Model." In 2024 International Conference on Smart Transportation Interdisciplinary Studies. SAE International, 2025. https://doi.org/10.4271/2025-01-7121.

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<div class="section abstract"><div class="htmlview paragraph">This paper presents a highway accident risk assessment model based on a Bayesian random-parameters logit model, aiming to evaluate the effects of real-time traffic conditions on crash risks on freeways. By incorporating random parameters to account for variations in the impacts of traffic variables across different freeway segments, the model offers greater flexibility and adaptability compared to traditional fixed-parameters logit models. The study utilizes traffic flow data collected from the Hangzhou-Shanghai-Ningbo e

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Ichikawa, Kenta, Hironori Kanda, Naoki Yoshioka, Kuniaki Ara, Jun-ichi Saito, and Keiichi Nagai. "Estimation of Mitigation Effects of Sodium Nanofluid for SGTR Accidents in SFR." In 2018 26th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/icone26-81309.

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Studies on the suppression of the reactivity of sodium itself have been performed on the basis of the concept of suspended nanoparticles in liquid sodium (sodium nanofluid). According to the theoretical and experimental results of studies for sodium nanofluid, velocity and heat of sodium nanofluid reaction with water (sodium nanofluid/water reaction) are lower than those of the pure sodium/water reaction. The analytical model for the peak temperature of a sodium nanofluid/water reaction jet has been developed by the authors in consideration of these suppression effects. In this paper, the pred

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Ma, Yuanwei, Dezhong Wang, Wenji Tan, Zhilong Ji, and Kuo Zhang. "Assessing Sensitivity of Observations in Source Term Estimation for Nuclear Accidents." In 2012 20th International Conference on Nuclear Engineering and the ASME 2012 Power Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/icone20-power2012-54491.

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In the Fukushima nuclear accident, due to the lack of field observations and the complexity of source terms, researchers failed to estimate the source term accurately immediately. Data assimilation methods to estimate source terms have many good features: they works well with highly nonlinear dynamic models, no linearization in the evolution of error statistics, etc. This study built a data assimilation system using the ensemble Kalman Filter for real-time estimates of source parameters. The assimilation system uses a Gaussian puff model as the atmospheric dispersion model, assimilating forwar

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Ogawa, Hiroshi, Hideo Machida, and Naoto Kasahara. "Analytical Study on Failure Mechanisms by Extreme Loadings Under Design Extension Conditions." In ASME 2015 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/pvp2015-45553.

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As the important lessons learned from Fukushima-nuclear power plant accident, mitigation of failure consequences and prevention of catastrophic failure were strongly recognized against severe accidents (SA) and excessive earthquake conditions. To improve mitigation measures and accident management, clarification of failure behaviors with locations is premised under design extension conditions (DEC) such as severe accidents and earthquakes. Design extension conditions induce some different failure modes from design conditions. Furthermore, the best estimation for these failure modes is required

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Yuan, Peng, Jian Deng, Zhifang Qiu, et al. "Data Driven Methods for Break Size and Location Estimation in LOCA Based on Deep Learning." In 2022 29th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/icone29-92380.

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Abstract Loss of coolant accident (LOCA) is one of the most important accidents in thermal hydraulic design of nuclear power plant. The traditional analysis method is difficult to realize the rapid prediction of the size and location of the break in the LOCA, while machine learning provides an idea for the rapid diagnosis of the initial cause of LOCA. In this paper HPR1000 which is independently designed by China was taken as the object, the process of LOCA under various break location and sizes is studied by using the advanced reactor system analysis code ARSAC (Advanced Reactor System Analys

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Liu, Yun, Sheng Fang, Hong Li, Jingyuan Qu, and Dong Fang. "Source Term Estimation in Nuclear Accidents Using 4D Variational Data Assimilation for Heterologous Atmospheric Condition." In 2014 22nd International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/icone22-30551.

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The source information of the radionuclide release in nuclear accidents is a key issue of the nuclear emergency response. One way to estimate the source information is by inversing the radionuclide transportation process based on environment radiation monitoring data. The advantage of this method is that the required data are easy to obtain in accident. But it is vulnerable to large uncertainties in both data and transport model. To solve the problem, a source term estimation method based on four-dimensional variational (4DVAR) data assimilation technique was proposed for source term estimatio

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Dadashova, Bahar. "Simulation Study of the Effect of Decreasing Truck Traffic Flow on Safety on Almeria-Barcelona Corridor." In CIT2016. Congreso de Ingeniería del Transporte. Universitat Politècnica València, 2016. http://dx.doi.org/10.4995/cit2016.2016.4214.

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In this paper the effect of truck traffic on road safety has been analyzed through simulation study. The main objective of the study is to quantify the effect of the decreasing average annual daily traffic of heavy duty vehicles (trucks) on road safety. As the road safety indicators the frequency road accidents is considered. The data used in the study were collected from one of the most crowded routes in Spain which connects Almeria (south-east) with Barcelona (northeast). The observed data covers year 2010 and were classified into 2 road types: dual carriageways and toll roads. The estimatio

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Jiménez, Gonzalo, Rafael Bocanegra, Kevin Fernández, César Queral, and Javier Montero-Mayorga. "Development of a PWR-W and an AP1000® Containment Building 3D Model With a CFD Code for Best-Estimate Thermal-Hydraulic Analysis." In 2014 22nd International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/icone22-30445.

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The simulation of design basis accidents in a containment building is usually conducted with a lumped parameter model. The codes normally used by Westinghouse Electric Company (WEC) for that license analysis are WGOTHIC or COCO, which are suitable to provide an adequate estimation of the overall peak temperature and pressure of the containment. However, for the detailed study of the thermal-hydraulic behavior in every room and compartment of the containment building, it could be more convenient to model the containment with a more detailed 3D representation of the geometry of the whole buildin

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Reports on the topic "Accidents estimation model"

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Outkin, Alexander V., Nathan E. Bixler, and Vanessa N. Vargas. Input-output model for MACCS nuclear accident impacts estimation�. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1214306.

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Tondel, Martin, Katja Gabrysch, Christopher Rääf, and Mats Isaksson. A model for estimating radiation doses and population cancer risk in Sweden after the Chernobyl Nuclear Power Plant accident in 1986. Uppsala University, 2025. https://doi.org/10.33063/diva-544175.

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Ukkusuri, Satish, Lu Ling, Tho V. Le, and Wenbo Zhang. Performance of Right-Turn Lane Designs at Intersections. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317277.

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Right-turn lane (RTL) crashes are among the most key contributors to intersection crashes in the US. Different right turn lanes based on their design, traffic volume, and location have varying levels of crash risk. Therefore, engineers and researchers have been looking for alternative ways to improve the safety and operations for right-turn traffic. This study investigates the traffic safety performance of the RTL in Indiana state based on multi-sources, including official crash reports, official database, and field study. To understand the RTL crashes' influencing factors, we introduce a rand

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Pourhomayoun, Mohammad. Artificial Intelligence for Pedestrian and Bicyclist Safety: Using AI to Detect Near-Miss Collisions. Mineta Transportation Institute, 2024. http://dx.doi.org/10.31979/mti.2024.2350.

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Near-Miss Collisions are events that, with a slight change in position or timing, could have resulted in a collision, which could have caused severe injury or property damage. Understanding near-miss collisions can help identify risks and potentially improve road safety. In this project, we developed an effective end-to-end system based on advanced artificial intelligence (AI) models and computer vision algorithms to detect and report near-miss collisions as an important indicator to identify and measure safety risks, especially in specific circumstances such as a right turn on a red light. Th

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