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Probabilistic and Empirical Grounded Modeling of Agents in (Partial) Cooperative Traffic Scenarios [chapter]

Claus Möbus, Mark Eilers, Hilke Garbe, Malte Zilinski
2009 Lecture Notes in Computer Science  
We present new model architectures and applications and discuss the suitability of dynamic Bayesian networks as control models of traffic agents: Bayesian Autonomous Driver (BAD) models.  ...  The Human Centered Design (HCD) of Partial Autonomous Driver Assistance Systems (PADAS) requires Digital Human Models (DHMs) of human control strategies for simulations of traffic scenarios.  ...  Introduction We discuss the suitability of a new type of real-time probabilistic control models for the psychological valid representation of traffic agent (e.g.: driver) behavior: Bayesian Autonomous  ... 
doi:10.1007/978-3-642-02809-0_45 fatcat:skshcxcjangsbip2np2mammia4

Cognitive Agents for Microscopic Traffic Simulations in Virtual Environments [chapter]

Sven Seele, Rainer Herpers, Christian Bauckhage
2012 Lecture Notes in Computer Science  
We suggest adding cognitive components to traffic agents in order to achieve more realistic behavior, such as opting for risky actions or occasionally breaking traffic rules.  ...  To achieve this goal, we start by adding a personality profile to each agent, which is based on the "Five Factor Model" from psychology.  ...  Fig. 1 . 1 Cognitive traffic agents for virtual environments could contain the depicted modules from cognitive architecture research.  ... 
doi:10.1007/978-3-642-33542-6_27 fatcat:h5tvtod34jhsxbrlsdkzkk554i

Distraction beyond the driver

Dario D. Salvucci
2013 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems - CHI '13  
Specifically, the paper describes how computational cognitive models can be used to predict the complex interactions among several vehicles driving in a line when one or more of the vehicles' drivers are  ...  This paper examines and predicts the potential effects of such interaction on other vehicles around the driver's vehicle.  ...  Distract-R incorporates a computational cognitive architecture called ACT-R [1] to provide a psychologically plausible model of driving, and relies on a recent psychological theory of multitasking for  ... 
doi:10.1145/2470654.2466427 dblp:conf/chi/Salvucci13 fatcat:mmxmlbnd3bc7nmmv6vcymhhog4

New Requirements for Modelling How Humans Succeed and Fail in Complex Traffic Scenarios [chapter]

Andreas Lüdtke
2010 Lecture Notes in Computer Science  
In this text aspects of human decision making in complex traffic environments are described and requirements for cognitive models that shall be used as virtual test pilots or test drivers for new assistance  ...  The text describes the current state of cognitive architectures and argues that though very relevant achievements have been realized some important characteristics of human decision making have so far  ...  In this way the architecture provides an operational semantics for the task tree which is based on a set of psychological phenomena.  ... 
doi:10.1007/978-3-642-11750-3_1 fatcat:fcei5uupejgepmk4ru2joluc6u

Toward an Integrated Model of Driver Behavior in Cognitive Architecture

Dario Salvucci, Erwin Boer, Andrew Liu
2001 Transportation Research Record  
The model is validated by comparing its behavior to that of human drivers navigating a four-lane highway with traffic in our fixed-based driving simulator.  ...  We propose the use of cognitive architectures for developing models of driver behavior that integrate cognitive and perceptual-motor processes in a serial model of task and attention management.  ...  By developing a model of driving in a cognitive architecture, the model inherits all the cognitive and perceptual-motor predictions of the architecture and allows for more psychologically plausible models  ... 
doi:10.3141/1779-02 fatcat:bzgvhmm53bcrbij2ri2rgcbxni

Calibration of a New Microsimulation Package for the Evaluation of Traffic Safety Performances

Vittorio Astarita, Vincenzo Giofré, Giuseppe Guido, Alessandro Vitale
2012 Procedia - Social and Behavioral Sciences  
This understanding is demonstrated through a comparison against a collision-avoidance physics-based model and a rational cognitive model.  ...  This study examines, in an artificially generated multi-agent environment, the behavioral dimension and its impact on performance in road transport networks.  ...  Rational cognitive architecture models Driver models based on rational cognitive architectures represent updates of the conventional traffic modeling approaches, such as the CA model described above, with  ... 
doi:10.1016/j.sbspro.2012.09.817 fatcat:pbmxgj3m5feqti772js7luqcoe

A study on al-based approaches for high-level decision making in highway autonomous driving

Laurene Claussmann, Marc Revilloud, Sebastien Glaser, Dominique Gruyer
2017 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)  
It deals with the analysis of the context relevant to decision making, performing a risk evaluation, based on models varying from psychological and emotional driver, and scene prediction.  ...  Driving implies a social behavior. All the infrastructure and driving rules for transportation means are built from human models.  ... 
doi:10.1109/smc.2017.8123203 dblp:conf/smc/ClaussmannRGG17 fatcat:tnoaklgawzdlvhu6vaxxeh27cu

The Application of Human Mental Models for Engineering to Improve Acceptance and Performance of Driving Automation

Peter Moertl, Peter Wimmer, Martin Rudigier, Werner Rom, Daniel Watzenig
2018 Zenodo  
We investigate the utility of computational Human Mental Models for Engineering (HMMEs) toward developing automation systems that are more similar to human behavior.  ...  We validate and compare an HMME with a control model for a basic steering task and compare them both with driving data from 16 human drivers in a driving simulator.  ...  The authors would like to acknowledge the financial support of the COMET K2 -Competence Centers for Excellent Technologies Programme of the Federal Ministry for Transport, Innovation and Technology (bmvit  ... 
doi:10.5281/zenodo.1483719 fatcat:7va6hk4dtzcutjotruvm56oe6u

A digital-driving system for smart vehicles

Wuhong Wang
2002 IEEE Intelligent Systems  
In this installment of Intelligent Transportation Systems, I sketch a digital-driving-behavior model.  ...  By simulating and analyzing driver behavior during different maneuvers such as lane changing, lane following, and traffic avoidance, researchers participating in the Beijing Institute of Technology's digital-driving  ...  Previous Research Driving-behavior-shaping factors Figure 1 . The architecture of a digital-driving system for a smart vehicle.  ... 
doi:10.1109/mis.2002.1039836 fatcat:jzq5vybfgvck7iqgqdpi4ievty

Simulations in Cyber-Security: A Review of Cognitive Modeling of Network Attackers, Defenders, and Users

Vladislav D. Veksler, Norbou Buchler, Blaine E. Hoffman, Daniel N. Cassenti, Char Sample, Shridat Sugrim
2018 Frontiers in Psychology  
strategy selection based on a large body of empirical evidence, and argues for use of behavioral/cognitive models to predict human behavior.  ...  that require transport.  ... 
doi:10.3389/fpsyg.2018.00691 pmid:29867661 pmcid:PMC5967149 fatcat:wlj4slbtg5dm7gd6nw7ypbm5xq

Mixture-of-Behaviors and Levels-of-Expertise in a Bayesian Autonomous Driver Model [chapter]

Claus Möbus, Mark Eilers
2010 Advances in Human Factors and Ergonomics Series  
We present the model architecture for embedding probabilistic models of human driver expertise with sharing of behaviors in different driving maneuvers.  ...  Traffic scenario simulations and risk-based design require Digital Human Models (DHMs) of human control strategies.  ...  ., Mixture of Behaviors and Levels-of-Expertise in a Bayesian Autonomous Driver Model (paper accepted), 1st Intern. Conf.  ... 
doi:10.1201/ebk1439835111-46 fatcat:ipcqb7azibcpbottiojceaq3uq

Mixture-of-Behaviors and Levels-of-Expertise in a Bayesian Autonomous Driver Model [chapter]

Claus Möbus, Mark Eilers
2010 Advances in Human Factors and Ergonomics Series  
We present the model architecture for embedding probabilistic models of human driver expertise with sharing of behaviors in different driving maneuvers.  ...  Traffic scenario simulations and risk-based design require Digital Human Models (DHMs) of human control strategies.  ...  ., Mixture of Behaviors and Levels-of-Expertise in a Bayesian Autonomous Driver Model (paper accepted), 1st Intern. Conf.  ... 
doi:10.1201/ebk1439835111-c45 fatcat:c66cdusnizbxhelir3gcajmtum

More Than 50 Years of History and Accomplishments in Human Performance Model Development

Richard W. Pew
2008 Human Factors  
Of course, there also have been many models of behavior proposed and tested in the psychological literature throughout the history of experimental psychology.  ...  not about those models but rather is a survey of models of integrated human task performance -models that can be represented mathematically or programmed in a computer and can, in principle, produce predictions  ...  Designers of aircraft and air traffic control systems have been using models for some time, and concerns about the Next Generation Air Transportation System (NGATS) make this area especially timely (see  ... 
doi:10.1518/001872008x288493 pmid:18689058 fatcat:yrjzbgj46bgyzc7ui2xpduatwa

Spatial Behavior in Transportation Modeling and Planning [chapter]

Reginald Golledge, Tommy Gärling
2002 New Directions in Civil Engineering  
system for predicting transportation demand.  ...  A challenge to practitioners is how they can use qualitative behavioral principles in transportation planning-for instance, in making quantitative predictions of travel demand.  ...  Development of a system for ITS depends on our ability to deal with a vast amount of information about the locations of places as well as with the complex representation of the transportation network linking  ... 
doi:10.1201/9781420042283.ch3 fatcat:lqub6shhejhpdghym6igbkdxbe

Drivers with limited perception: model and application to traffic simulation

Utku Ketenci, Roland Brémond, Jean-Michel Auberlet, Emmanuelle Grislin
2014 Recherche Transports Sécurité  
We propose a model of the driver perception suited for microscopic, agent-based traffic simulations.  ...  A computational implementation of the model is proposed for the driver, using agent-based modeling.  ...  Acknowledgements We would like to thank Anaïs Nouailles-Mayeur, for fruitful discussions on psychological models, and Sophie Lemonnier for her suggestions which helped to improve the manuscript.  ... 
doi:10.4074/s0761898014001046 fatcat:lmgfdobuuzal3j6ydtsckxkhiy
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