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Examining Bayesian network modeling in identification of dangerous driving behavior

Yichuan Peng, Leyi Cheng, Yuming Jiang, Shengxue Zhu, Yanyong Guo
2021 PLoS ONE  
The results show that the Bayesian network modeling can not only express the relationship between the crash risk and various driving behaviors, but also dig out the inherent relationship between different  ...  Traffic safety problems are still very serious and human factor is the one of most important factors affecting traffic crashes.  ...  This part focuses on the identification of dangerous driving behaviors by establishing eight vehiclebased risk assessment indicators based on the collected data.  ... 
doi:10.1371/journal.pone.0252484 pmid:34388171 pmcid:PMC8363010 fatcat:xy7cohi4j5cmdlmh4hmlwyncte

Virtual Self-Modeling: The Effects of Vicarious Reinforcement and Identification on Exercise Behaviors

Jesse Fox, Jeremy N. Bailenson
2009 Media Psychology  
Immersive virtual environment technology (IVET) enables novel explorations of health behavior modeling.  ...  Social cognitive theory (Bandura, 1977 (Bandura, , 2001 describes the power of a model demonstrating a behavior to encourage modeling by an observer.  ...  Many mediated messages about health behaviors use models similar to the target audience to foster identification.  ... 
doi:10.1080/15213260802669474 fatcat:nzgwuncx2fh6tno2kxchpxrioa

Lightweight Driver Behavior Identification Model with Sparse Learning on In-Vehicle CAN-BUS Sensor Data

Shan Ullah, Deok-Hwan Kim
2020 Sensors  
This study focuses on driver-behavior identification and its application to finding embedded solutions in a connected car environment.  ...  We compared our results with compressed versions of existing models by applying efficient channel pruning on several layers of current models.  ...  Machine-Learning Models Studies that focused on the modeling of individual driver behaviors used many state-of-the-art machine-learning models.  ... 
doi:10.3390/s20185030 pmid:32899751 fatcat:xcwooaaqtzckvpbvjrkmtsaxb4

Operation behavior modeling using relation identification and visualization algorithms

Kristofer Bengtsson, Bengt Lennartson
2013 2013 IEEE International Conference on Automation Science and Engineering (CASE)  
In this paper, a modeling method and a relation identification and visualization algorithm is introduced that does not explicitly specify operation routes, where instead the operation behavior is specified  ...  Throughout the design process the behavior model will evolve and transform when new design decisions are made and the understanding and knowledge are increased.  ...  Visualization of SOPs at Emergency departments The possibility to use operation behavior identification and visualization in hospitals was studied at an emergency department (ED) in Sweden, during one  ... 
doi:10.1109/coase.2013.6654033 dblp:conf/case/BengtssonL13 fatcat:6ezwc2x6mfg4pf4o4tm2h3fnta

Identification and validation of lateral driver models on experimentally induced driving behavior

Peter Hermannstadter, Bin Yang
2012 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC)  
However, in discerning the induced driving behavior, all models show only weak results. Widely, track influences on the models are larger than possible effects from driving behavior.  ...  Driver models can generally be described as adaptive multiple-input multiple-output systems, which focus on replicating a certain driving behavior.  ... 
doi:10.1109/icsmc.2012.6377889 dblp:conf/smc/HermannstadterY12 fatcat:nsqfxkuaxnaennzn7c7sj7dlwy

Driver Modeling Based on Driving Behavior and Its Evaluation in Driver Identification

Chiyomi Miyajima, Yoshihiro Nishiwaki, Koji Ozawa, Toshihiro Wakita, Katsunobu Itou, Kazuya Takeda, Fumitada Itakura
2007 Proceedings of the IEEE  
Experimental results show that the driver model based on the spectral features of pedal operation signals efficiently models driver individual differences and achieves an identification rate of 76.8% for  ...  In this paper, we model such driving behaviors as car-following and pedal operation patterns.  ...  Comparison of Driver Models Based on OV Model and GMM in Driver Identification A small driver identification experiment was conducted using a subdata set of eight male drivers collected in the simulator  ... 
doi:10.1109/jproc.2006.888405 fatcat:xlqyy7eq7zharmqwoqukbaholy

Modeling and identification of Rosen-type transformer in nonlinear behavior

François Pigache, Clément Nadal
2011 IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control  
This paper is about the modeling of piezoelectric transformer in nonlinear behavior conditions. In the frame of applications with high output loads, nonlinear behavior becomes non-negligible.  ...  Then, the model is developed for a typical Rosen-type transformer and experimental investigations are presented.  ...  General Model Formulation The analytical modeling of the Rosen transformer with nonlinear behavior mainly relies on theoretical studies in [5] .  ... 
doi:10.1109/tuffc.2011.2119 pmid:23443692 fatcat:7kfiqyl725cszb6gcg3erlpawm

Identification of Generators' Economic Withholding Behavior Based on a SCAD-Logit Model in Electricity Spot Market

Bo Sun, Siyuan Cheng, Jingdong Xie, Xin Sun
2022 Energies  
An indicator system for identifying the economic withholding behavior of the generators is constructed based on structure conduct performance (SCP) theory.  ...  The effective identification of the economic withholding behavior of the generators can help ensure the fair operation of the electricity market.  ...  The economic withholding behavior identification model is constructed based on the four indicators obtained.  ... 
doi:10.3390/en15114135 fatcat:6npzd3fzsrebpg2ta46vj7reya

A novel identification/verification model using smartphone's sensors and user behavior

Ghina Dandachi, Bachar El Hassan, Anas El Husseini
2013 2013 2nd International Conference on Advances in Biomedical Engineering  
The proposed model is supposed to be as secure as traditional authentication methods.  ...  Smartphones are increasingly entering people's life; every person in the house carry one or two smartphones (Android, iPhone, Tab...).  ...  Behavioral User Authentication/Identification A user behavioral model is provided in [1] , the corresponding research is based on the idea that the person is a creature of habit, therefore each event  ... 
doi:10.1109/icabme.2013.6648891 fatcat:l2qgud3kljaalnib6qhhwuf53i

The Impact of Team Knowledge Heterogeneity on Entrepreneurial Opportunity Identification: A Moderated Mediation Model

Chongrong Huang, Liuqi Sun, Qingchen Liu, Yuzhou Yan, Chengyan Li
2022 Psychology Research and Behavior Management  
effect of team knowledge heterogeneity on entrepreneurial opportunity identification through social capital.  ...  Therefore, this study focuses on the influence mechanism of entrepreneurial opportunity identification, so as to enrich the influence path of entrepreneurial opportunity identification and provide suggestions  ...  0.58 0.11 M1(One-factor model) 3.39 0.40 0.37 0.41 0.12 Notes: One-factor model: (team knowledge heterogeneity, social capital, promotional regulatory focus, preventive regulatory focus, profitability,  ... 
doi:10.2147/prbm.s337464 pmid:35027854 pmcid:PMC8752367 fatcat:p6wwsvetnjeqvakr4kefiswx7y

Moderating Role of Islamic Work Ethics and Mediating Role of Organizational Identification on Leader-Member Exchange and Citizenship Behavior Relationship: A Test of Moderated Mediation Model

2018 Journal of Islamic Business and Management  
Moderated mediation analysis confirmed the conditional effect of IWE on the indirect relationship between LMX and citizenship behavior through OI.  ...  The present study aims to investigate the indirect relationship of Leader-Member Exchange (LMX) and followers' citizenship behavior through Organizational Identification (OI) for the first time using Social  ...  Mediating role of OI on LMX and Citizenship Behavior Relationship Results of Indirect effect using model 4 of PROCESS macro for subordinate-rated LMX on CBI (Estimate = 0.1519, SE = 0.0696, ULCI = -0.0198  ... 
doi:10.26501/jibm/2018.0801-009 fatcat:6jucw26qjbct3ctphuokyj6p4a

Effects of measurement timing on subgroup identification using growth mixture modeling: An empirical application to alcohol use

Anne M. Fairlie, Michael Bernstein, Theodore A. Walls, Mark D. Wood
2019 Psychology of Addictive Behaviors  
Growth mixture modeling (GMM) identifies latent classes exhibiting distinct longitudinal patterns on an outcome.  ...  Alterations in the timing of the initial assessment had a substantial impact on latent class estimation, underscoring the importance of selecting the developmental window a priori based on theory and empirical  ...  Effects of Measurement Timing on Subgroup Identification using Growth Mixture Modeling: An Empirical Application to Alcohol Use Adolescence and young adulthood are important developmental periods with  ... 
doi:10.1037/adb0000446 pmid:30702318 pmcid:PMC6483855 fatcat:mqrs4w72affrzgd4oogwnvbkne

Behavioral modeling of GaN-based power amplifiers: Impact of electrothermal feedback on the model accuracy and identification

Roberto Quaglia, Vittorio Camarchia, Federica Cappelluti, Simona Donati Guerrieri, Eduardo G. Lima, Giovanni Ghione, Marco Pirola
2009 Microwave and optical technology letters (Print)  
the model identification is carried out with signals with wide bandwidth and large dynamics.  ...  Exploiting an accurate self-consistent ET model derived from measurements and thermal finite-element method simulations, we show that behavioral models are able to yield accurate results, provided that  ...  on the model performances.  ... 
doi:10.1002/mop.24732 fatcat:ovdsmfu7ebby3grkil2hpxvfem

Identification of Probability weighted multiple ARX models and its application to behavior analysis

Shun Taguchi, Tatsuya Suzuki, Soichiro Hayakawa, Shinkichi Inagaki
2009 Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference  
Finally, the proposed model is applied to the modeling of the driving behavior, and the usefulness of the model is verified and discussed.  ...  This paper proposes a Probability weighted ARX (PrARX) model wherein the multiple ARX models are composed by the probabilistic weighting functions.  ...  Finally, the PrARX model is applied to the modeling of the driving behavior.  ... 
doi:10.1109/cdc.2009.5400160 dblp:conf/cdc/TaguchiSHI09 fatcat:d6p57ia5tna2xl6s3auvsbf6pa

A note on the identification of change detection task models to measure storage capacity and attention in visual working memory

Leah M. Feuerstahler, Steven J. Luck, Angus MacDonald, Niels G. Waller
2018 Behavior Research Methods  
In principle, these models should allow researchers to isolate the effects of experimental manipulations, group differences, and individual differences on working memory capacity and on the rate of attentional  ...  However, the present research found that two variants of a widely accepted model of the change detection task are not mathematically identified.  ...  An alternative to the model identification solutions proposed in this paper is to use tasks that are not variants on change detection.  ... 
doi:10.3758/s13428-018-1082-z pmid:30076533 pmcid:PMC6360143 fatcat:6p3wtyk3g5akrf4l62uoqdvw4m
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