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2010 IEEE International Conference on Systems, Man and Cybernetics, 2010
Driver behaviour is becoming an increasingly important part of traffic simulations and driving simulators. This paper will outline the development of a framework for a Driver Model Library (DML) that will result in a cross platform plug-in for traffic simulations at microscopic as well as network level.
Neil E. Absil, Jasper J. A. Pauwelussen
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Driver behaviour is becoming an increasingly important part of traffic simulations and driving simulators. This paper will outline the development of a framework for a Driver Model Library (DML) that will result in a cross platform plug-in for traffic simulations at microscopic as well as network level.
Neil E. Absil, Jasper J. A. Pauwelussen
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2015 IEEE Intelligent Vehicles Symposium (IV), 2015
The Intelligent Driver Model (IDM) is a microscopic, time continuous car following model for the simulation of freeway and urban traffic. Its popularity is grounded in its simplicity and its capacity to describe both single vehicle velocity profiles as well as collective traffic behavior.
Julian Eggert +2 more
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The Intelligent Driver Model (IDM) is a microscopic, time continuous car following model for the simulation of freeway and urban traffic. Its popularity is grounded in its simplicity and its capacity to describe both single vehicle velocity profiles as well as collective traffic behavior.
Julian Eggert +2 more
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Ergonomics, 1982
The driver-vehicle-environment system is characterized by the driver's ability to receive information from the environment and to react upon it by activating the controls of the vehicle. Modelling this system one has to take into account that it is complex.
U, Kramer, G, Rohr
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The driver-vehicle-environment system is characterized by the driver's ability to receive information from the environment and to react upon it by activating the controls of the vehicle. Modelling this system one has to take into account that it is complex.
U, Kramer, G, Rohr
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Driver Distraction Assessment Using Driver Modeling
2013 IEEE International Conference on Systems, Man, and Cybernetics, 2013Characterizing individual human drivers is of increasing interest for applications like adaptive driver assistance or monitoring. Describing the human driver by means of control-theoretic driver models constitutes a promising approach. In this paper, we apply a driver model adopted from literature to real-road driving of a distraction experiment in ...
Peter Hermannstadter, Bin Yang
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Modelling driver acceptance of driver support systems
Accident Analysis & Prevention, 2018Driver support systems are intended to enhance driver performance and improve transportation safety. Even though these systems afford safety advantages, they challenge the traditional role of drivers in operating vehicles. Driver acceptance, therefore, is essential for the adoption of new in-vehicle technologies into the transportation system.
Md Mahmudur Rahman +5 more
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Modelling Drivers’ Adaptation to Assistance Systems
13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2021Human factors research and engineering of advanced driving assistance systems (ADAS) must consider how drivers adapt to their presence. The major obstruction to this at the moment is poor understanding of the details of the adaptive processes that the human cognition undergoes when faced with such changes.
Jokinen, Jussi P. P., Kujala, Tuomo
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2007
Predictive models of destinations represent an opportunity in the context of the increasing availability and sophistication of in-car driving aids. We present analyses of drivers' destinations based on GPS data recorded from 180 volunteer subjects. We focus on the probability of observing drivers visit previously unobserved destinations given time of ...
John Krumm, Eric Horvitz
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Predictive models of destinations represent an opportunity in the context of the increasing availability and sophistication of in-car driving aids. We present analyses of drivers' destinations based on GPS data recorded from 180 volunteer subjects. We focus on the probability of observing drivers visit previously unobserved destinations given time of ...
John Krumm, Eric Horvitz
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Making driver modeling attractive
IEEE Intelligent Systems, 2005Automobile industry and academic researchers expend considerable effort to develop driver assistance systems. DASs are aware of certain driving situations and support drivers through information, warnings, or even intervention. Many DAS applications are safety oriented, such as lane departure warning systems.
Antonio Pellecchia +3 more
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Race driver model: identification of the driver’s inputs
2008Once the best trajectory has been determined (both in terms of best track and best speed profile), it is necessary to identify the driver’s inputs to follow the given trajectory. The driver’s inputs are the following: the gear, the clutch, the brake, the accelerator and the steer wheel.
BRAGHIN, FRANCESCO +2 more
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