Literatura académica sobre el tema "Driver behaviour models"
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Artículos de revistas sobre el tema "Driver behaviour models"
Li, Yi, Yuren Chen y Fan Wang. "The Impact of Traffic Environmental Vision Pressure on Driver Behaviour". Journal of Advanced Transportation 2018 (5 de junio de 2018): 1–12. http://dx.doi.org/10.1155/2018/4941605.
Texto completoChodur, Janusz y Radosław Bąk. "Study of driver behaviour at turbo-roundabouts". Archives of Transport 38, n.º 2 (30 de junio de 2016): 17–28. http://dx.doi.org/10.5604/08669546.1218790.
Texto completoMcGordon, A., J. E. W. Poxon, C. Cheng, R. P. Jones y P. A. Jennings. "Development of a driver model to study the effects of real-world driver behaviour on the fuel consumption". Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 225, n.º 11 (20 de julio de 2011): 1518–30. http://dx.doi.org/10.1177/0954407011409116.
Texto completoManjunath, Abhijna. "Prediction of Crash Risk based on Driving Behaviour". International Journal for Research in Applied Science and Engineering Technology 10, n.º 7 (31 de julio de 2022): 453–56. http://dx.doi.org/10.22214/ijraset.2022.45252.
Texto completoBabojelić, Karlo y Luka Novacko. "Modelling of Driver and Pedestrian Behaviour – A Historical Review". Promet - Traffic&Transportation 32, n.º 5 (5 de octubre de 2020): 727–45. http://dx.doi.org/10.7307/ptt.v32i5.3524.
Texto completoRothkrantz, Leon, Madalina Toma y Mirela Popa. "AN INTELLIGENT CO-DRIVER SURVEILLANCE SYSTEM". Acta Polytechnica CTU Proceedings 12 (15 de diciembre de 2017): 83. http://dx.doi.org/10.14311/app.2017.12.0083.
Texto completoYannes, Craig D. y Nicholas E. Lownes. "Driver behaviour considerations in calibrating microsimulation models for capacity". International Journal of Society Systems Science 2, n.º 1 (2010): 84. http://dx.doi.org/10.1504/ijsss.2010.031468.
Texto completoArumugam, Subramanian y R. Bhargavi. "Road Rage and Aggressive Driving Behaviour Detection in Usage-Based Insurance Using Machine Learning". International Journal of Software Innovation 11, n.º 1 (2 de marzo de 2023): 1–29. http://dx.doi.org/10.4018/ijsi.319314.
Texto completoMirbeygi Moghaddam, Amirreza, Ali Ghaffari y Alireza Khodayari. "Adaptive comfort-oriented vehicle lateral control with online controller adjustments according to driver behaviour and look-ahead dynamics". Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics 234, n.º 2 (23 de diciembre de 2019): 272–87. http://dx.doi.org/10.1177/1464419319895835.
Texto completoBevrani, Kaveh, Edward Chung y Pauline Teo. "The Space-Based Car-Following Model: Development and Application for Managed Motorway System Safety Evaluation". Future Transportation 1, n.º 3 (24 de septiembre de 2021): 443–65. http://dx.doi.org/10.3390/futuretransp1030024.
Texto completoTesis sobre el tema "Driver behaviour models"
Gupta, Vishal Ph D. Massachusetts Institute of Technology. "Data-driven models for uncertainty and behavior". Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/91301.
Texto completoThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
117
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 173-180).
The last decade has seen an explosion in the availability of data. In this thesis, we propose new techniques to leverage these data to tractably model uncertainty and behavior. Specifically, this thesis consists of three parts: In the first part, we propose a novel schema for utilizing data to design uncertainty sets for robust optimization using hypothesis testing. The approach is flexible and widely applicable, and robust optimization problems built from our new data driven sets are computationally tractable, both theoretically and practically. Optimal solutions to these problems enjoy a strong, finite-sample probabilistic guarantee. Computational evidence from classical applications of robust optimization { queuing and portfolio management { confirm that our new data-driven sets significantly outperform traditional robust optimization techniques whenever data is available. In the second part, we examine in detail an application of the above technique to the unit commitment problem. Unit commitment is a large-scale, multistage optimization problem under uncertainty that is critical to power system operations. Using real data from the New England market, we illustrate how our proposed data-driven uncertainty sets can be used to build high-fidelity models of the demand for electricity, and that the resulting large-scale, mixed-integer adaptive optimization problems can be solved efficiently. With respect to this second contribution, we propose new data-driven solution techniques for this class of problems inspired by ideas from machine learning. Extensive historical back-testing confirms that our proposed approach generates high quality solutions that compare with state-of-the-art methods. In the third part, we focus on behavioral modeling. Utility maximization (single agent case) and equilibrium modeling (multi-agent case) are by far the most common behavioral models in operations research. By combining ideas from inverse optimization with the theory of variational inequalities, we develop an efficient, data-driven technique for estimating the primitives of these models. Our approach supports both parametric and nonparametric estimation through kernel learning. We prove that our estimators enjoy a strong generalization guarantee even when the model is misspecified. Finally, we present computational evidence from applications in economics and transportation science illustrating the effectiveness of our approach and its scalability to large-scale instances.
by Vishal Gupta.
Ph. D.
Keen, Steven Dale. "Modeling driver steering behaviour using multiple-model predictive control". Thesis, University of Cambridge, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.611428.
Texto completoAlmén, Marcus. "Driver Model for Mission-Based Driving Cycles". Thesis, Linköpings universitet, Fordonssystem, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-140158.
Texto completoMiyajima, Chiyomi, Yoshihiro Nishiwaki, Koji Ozawa, Toshihiro Wakita, Katsunobu Itou, Kazuya Takeda y Fumitada Itakura. "Driver Modeling Based on Driving Behavior and Its Evaluation in Driver Identification". IEEE, 2007. http://hdl.handle.net/2237/9623.
Texto completoGadepally, Vijay Narasimha. "Estimation of Driver Behavior for Autonomous Vehicle Applications". The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1365952195.
Texto completoMcNally, Brenton. "The Development and Validation of the CAPS Model in a Reckless Behaviour Context: Identifying the Predictors of Unsafe Driving Behaviours". Thesis, Griffith University, 2014. http://hdl.handle.net/10072/365443.
Texto completoThesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Applied Psychology
Griffith Health
Full Text
Turley, Carole. "Calibration Procedure for a Microscopic Traffic Simulation Model". Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd1747.pdf.
Texto completoWu, Zujian. "A generic approach to behaviour-driven biochemical model construction". Thesis, Brunel University, 2012. http://bura.brunel.ac.uk/handle/2438/7413.
Texto completoJomaa, Diala. "A data driven approach for automating vehicle activated signs". Doctoral thesis, Högskolan Dalarna, Datateknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:du-21504.
Texto completoHiggs, Bryan James. "Emotional Impacts on Driver Behavior: An Emo-Psychophysical Car-Following Model". Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/64901.
Texto completoPh. D.
Libros sobre el tema "Driver behaviour models"
C, Cacciabue Pietro, ed. Modelling driver behaviour in automotive environments: Critical issues in driver interactions with intelligent transport systems. London: Springer, 2007.
Buscar texto completoJohannes Petrus Bernardus Nicolaas Derks. Cold fluid driven crack propagation: Thermo-mechanical behaviour of rock caverns. Delft, The Netherlands: Delft University Press, 1997.
Buscar texto completoBuyal'skiy, Vladimir. Wind turbines with optimal control of electricity generation. ru: INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1946200.
Texto completoSnelgrove, Peter B. Vulnerability to adverse consequences of drinking and problem drinker status as predicted by risky drinking behaviours, drug use, sex differences and affect: A test of multiple models. St. Catharines, Ont: Brock University, Dept. of Psychology, 2005.
Buscar texto completoCacciabue, P. Carlo. Modelling Driver Behaviour in Automotive Environments: Critical Issues in Driver Interactions with Intelligent Transport Systems. Springer, 2007.
Buscar texto completoSanna, Fabrizio, Patrizia Porcu y Liana Fattore, eds. Sexual Behavior as a Model for the Study of Motivational Drive and Related Behaviors. Frontiers Media SA, 2020. http://dx.doi.org/10.3389/978-2-88966-117-6.
Texto completoKadri, Faisal L. Animal Drives in Humans: A Cybernetic Model of "Normal" Human Behavior. Trycode, 1989.
Buscar texto completoBrumby, Duncan P., Christian P. Janssen, Tuomo Kujala y Dario D. Salvucci. Computational Models of User Multitasking. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198799603.003.0013.
Texto completoTaylor, Sylvester, Paul R. Yost, Cynthia D. McCauley y D. Scott Derue. Experience-Driven Leader Development: Models, Tools, Best Practices, and Advice for on-The-Job Development. Wiley & Sons, Incorporated, John, 2013.
Buscar texto completoTaylor, Sylvester, Paul R. Yost, Cynthia D. McCauley y D. Scott Derue. Experience-Driven Leader Development: Models, Tools, Best Practices, and Advice for on-The-Job Development. Wiley & Sons, Incorporated, John, 2013.
Buscar texto completoCapítulos de libros sobre el tema "Driver behaviour models"
Jürgensohn, Thomas. "Control Theory Models of the Driver". En Modelling Driver Behaviour in Automotive Environments, 277–92. London: Springer London, 2007. http://dx.doi.org/10.1007/978-1-84628-618-6_16.
Texto completoCody, Delphine y Timothy Gordon. "TRB Workshop on Driver Models: A Step Towards a Comprehensive Model of Driving?" En Modelling Driver Behaviour in Automotive Environments, 26–42. London: Springer London, 2007. http://dx.doi.org/10.1007/978-1-84628-618-6_2.
Texto completoTango, Fabio, Roberto Montanari y Stefano Marzani. "Present and Future of Simulation Traffic Models". En Modelling Driver Behaviour in Automotive Environments, 400–427. London: Springer London, 2007. http://dx.doi.org/10.1007/978-1-84628-618-6_21.
Texto completoCarsten, Oliver. "From Driver Models to Modelling the Driver: What Do We Really Need to Know About the Driver?" En Modelling Driver Behaviour in Automotive Environments, 105–20. London: Springer London, 2007. http://dx.doi.org/10.1007/978-1-84628-618-6_6.
Texto completoWeir, David H. y Kevin C. Chao. "Review of Control Theory Models for Directional and Speed Control". En Modelling Driver Behaviour in Automotive Environments, 293–311. London: Springer London, 2007. http://dx.doi.org/10.1007/978-1-84628-618-6_17.
Texto completoShinar, David y Ilit Oppenheim. "Review of Models of Driver Behaviour and Development of a Unified Driver Behaviour Model for Driving in Safety Critical Situations". En Human Modelling in Assisted Transportation, 215–23. Milano: Springer Milan, 2011. http://dx.doi.org/10.1007/978-88-470-1821-1_23.
Texto completoHojaji, Fazilat, Adam J. Toth y Mark J. Campbell. "A Machine Learning Approach for Modeling and Analyzing of Driver Performance in Simulated Racing". En Communications in Computer and Information Science, 95–105. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-26438-2_8.
Texto completoDonges, Edmund. "Driver Behavior Models". En Handbook of Driver Assistance Systems, 19–33. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12352-3_2.
Texto completoDonges, Edmund. "Driver Behavior Models". En Handbook of Driver Assistance Systems, 1–12. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-09840-1_2-1.
Texto completoRämä, Pirkko y Hanna Koskinen. "Three Driver and Operator Behaviour Models in the Context of Automated Driving – Identification of Issues from Human Actor Perspective". En Advances in Intelligent Systems and Computing, 1059–71. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60441-1_100.
Texto completoActas de conferencias sobre el tema "Driver behaviour models"
Walker, Guy y Malcolm Calvert. "Driver Behaviour at Roadworks". En Applied Human Factors and Ergonomics Conference. AHFE International, 2021. http://dx.doi.org/10.54941/ahfe100629.
Texto completoSrinivasan Rammanoharan, Sneha, Jose Alguindigue, Apurva Narayan y Siby Samuel. "SHRP2 Naturalistic Data Analysis of Older Drivers’ Gap-Acceptance Behaviour". En 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002478.
Texto completoArhin, S. A. y A. Eskandarian. "Driver behaviour models for a driving simulator-based intelligent speed adaptation system". En URBAN TRANSPORT 2009. Southampton, UK: WIT Press, 2009. http://dx.doi.org/10.2495/ut090181.
Texto completoBakken, Lars E., Tor Bjo̸rge, Tim M. Bradley y Neal Smith. "Validation of Compressor Transient Behaviour". En ASME Turbo Expo 2002: Power for Land, Sea, and Air. ASMEDC, 2002. http://dx.doi.org/10.1115/gt2002-30279.
Texto completoDia, Hussein y Sakda Panwai. "Intelligent Mobility for Smart Cities: Driver Behaviour Models for Assessment of Sustainable Transport". En 2014 IEEE International Conference on Big Data and Cloud Computing (BdCloud). IEEE, 2014. http://dx.doi.org/10.1109/bdcloud.2014.50.
Texto completoGrabarek, Iwona y Włodzimierz Choromański. "Computer Simulation of the Dynamic Properties of a Complex Man-Railway Vehicle-Environment System". En ASME 2001 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/imece2001/de-23256.
Texto completoOzkan, Mehmet Fatih y Yao Ma. "Inverse Reinforcement Learning Based Driver Behavior Analysis and Fuel Economy Assessment". En ASME 2020 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/dscc2020-3122.
Texto completoVasconcelos, Luís, Francisco Martins y Luísa Cruz-Lopes. "Calibration of the IDM car-following model using trajectory data". En 7th International Conference on Road and Rail Infrastructure. University of Zagreb Faculty of Civil Engineering, 2022. http://dx.doi.org/10.5592/co/cetra.2022.1353.
Texto completoSan Roma´n, Jose´ Luis, Vicente Di´az, Pedro Cobo, Carolina A´lvarez-Caldas, Jose´ Antonio Calvo, Daniel Garci´a-Pozuelo, Antonio Gauchi´a, David Ibarra, Ester Olmeda y Alejandro Quesada. "Characterization of the Noise Emissions of a Passenger Vehicle". En ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-63392.
Texto completoPatkar, Nitish, Andrei Chis, Nataliia Stulova y Oscar Nierstrasz. "Interactive Behavior-driven Development: a Low-code Perspective". En 2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2021. http://dx.doi.org/10.1109/models-c53483.2021.00024.
Texto completoInformes sobre el tema "Driver behaviour models"
Ringhand, Madlen, Maximilian Bäumler, Christian Siebke, Marcus Mai y Felix Elrod. Report on validation of the stochastic traffic simulation (Part A). Technische Universität Dresden, 2021. http://dx.doi.org/10.26128/2021.242.
Texto completoKulhandjian, Hovannes. Detecting Driver Drowsiness with Multi-Sensor Data Fusion Combined with Machine Learning. Mineta Transportation Institute, septiembre de 2021. http://dx.doi.org/10.31979/mti.2021.2015.
Texto completoPulugurtha, Srinivas S. y Raghuveer Gouribhatla. Drivers’ Response to Scenarios when Driving Connected and Automated Vehicles Compared to Vehicles with and without Driver Assist Technology. Mineta Transportation Institute, enero de 2022. http://dx.doi.org/10.31979/mti.2022.1944.
Texto completoSiebke, Christian, Maximilian Bäumler, Madlen Ringhand, Marcus Mai, Mohamed Nadar Ramadan y Günther Prokop. Report on layout of the traffic simulation and trial design of the evaluation. Technische Universität Dresden, 2021. http://dx.doi.org/10.26128/2021.244.
Texto completoBarberis, Nicholas y Lawrence Jin. Model-free and Model-based Learning as Joint Drivers of Investor Behavior. Cambridge, MA: National Bureau of Economic Research, marzo de 2023. http://dx.doi.org/10.3386/w31081.
Texto completoNakatsuka, Fuyuki, Shuji Watanabe, Taro Sekine, Michiharu Okano, Youji Shimizu, Yuji Takada y Osamu Shimoyama. Event-Driven Model on Driving Behavior in the Left Turn. Warrendale, PA: SAE International, septiembre de 2005. http://dx.doi.org/10.4271/2005-08-0621.
Texto completoSiebke, Christian, Maximilian Bäumler, Madlen Ringhand, Marcus Mai, Felix Elrod y Günther Prokop. Report on design of modules for the stochastic traffic simulation. Technische Universität Dresden, 2021. http://dx.doi.org/10.26128/2021.245.
Texto completoRoland-Holst, David, Kamalbek Karymshakov, Burulcha Sulaimanova y Kadyrbek Sultakeev. ICT, Online Search Behavior, and Remittances: Evidence from the Kyrgyz Republic. Asian Development Bank Institute, diciembre de 2022. http://dx.doi.org/10.56506/fepw3647.
Texto completoLuo, Hao, Ricardo Chahine, Arianna Rambaram, Elizabeth Theresa Rosenzweig, Konstantina Gkritza y Hua Cai. Assessing the Travel Demand and Mobility Impacts of Transformative Transportation Technologies in Indiana. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317374.
Texto completoKim, Joseph J., Samuel Dominguez y Luis Diaz. Freight Demand Model for Southern California Freeways with Owner–Operator Truck Drivers. Mineta Transportation Institute, octubre de 2020. http://dx.doi.org/10.31979/mti.2020.1931.
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