Results 201 to 210 of about 14,545,214 (235)
Some of the next articles are maybe not open access.
PERTURBATION AND STABILITY ANALYSIS OF THE MULTI-ANTICIPATIVE INTELLIGENT DRIVER MODEL
International Journal of Modern Physics C, 2010This paper discusses three kinds of IDM car-following models that consider both the multi-anticipative behaviors and the reaction delays of drivers. Here, the multi-anticipation comes from two ways: (1) the driver is capable of evaluating the dynamics of several preceding vehicles, and (2) the autonomous vehicles can obtain the velocity and distance
Chen, Xi-Qun +3 more
openaire +1 more source
No Worries About Misdetection: A Safe Intelligent Driver Model
Unmanned SystemsNew perception error patterns, such as misdetection, emerge in Autonomous Vehicles (AV) and other autonomous systems due to the pervasive implementation of AI-driven algorithms. However, existing planning/control approaches in AVs have not yet adapted to these new error patterns because of their black-box or grey-box nature and high complexity.
Zheyu Zhang 0003 +2 more
openaire +2 more sources
Driver Behavior Modeling in Critical Situations for Threat Assessment of Intelligent Vehicles
2019 4th International Conference on Intelligent Transportation Engineering (ICITE), 2019Threat assessment (TA) method is a crucial part in the decision-making process of intelligent vehicles (IVs). Probabilistic threat assessment (PTA) method, as a robust TA method, has drawn increasing attention. This paper utilized vehicle event data recorder (EDR) data to model driver behavior in critical situations for PTA.
Huajian Zhou +5 more
openaire +2 more sources
Stabilization of traffic flow based on multi-anticipative intelligent driver model
2009 12th International IEEE Conference on Intelligent Transportation Systems, 2009This paper extends the intelligent driver model (IDM) with a multi-anticipative behavior and a reaction delay to describe the motion of the dynamical traffic flow. In the approach, the acceleration and deceleration manipulations of drivers depend on the velocity of the subject vehicle n, the netto gaps and velocity differences between vehicle n and a ...
Xiqun Chen +3 more
openaire +2 more sources
Does the Intelligent Driver Model Adequately Represent Human Drivers?
Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems, 2023Zeyu Mu +2 more
openaire +2 more sources
Driver behavior classification model based on an intelligent driving diagnosis system
2012 15th International IEEE Conference on Intelligent Transportation Systems, 2012This paper considers the problem of characterize the way people drive applied to driver assistance systems and integrated safety systems without using direct driver signals. To make this, is proposed the design of a driver behaviors classifier based on a previous intelligent driving diagnosis system development by us [1].
Christian G. Quintero M. +2 more
openaire +1 more source
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2021
Haobin Jiang, Ju Xie, Xing Xu
exaly
Haobin Jiang, Ju Xie, Xing Xu
exaly
Modeling adaptive preview time of driver model for intelligent vehicles based on deep learning
Proceedings of the Institution of Mechanical Engineers Part I: Journal of Systems and Control Engineering, 2022Ju Xie, Xing Xu
exaly
Intelligent transport systems and the modelling of driver information systems
2008This report reviews the basic measures of ITS and describes the modelling of the Driver Information System (DIS) in detail. ITS measures can be car-based or transit-based. For each ITS measure, the current technology and the future development are analysed.
Yang, Chao, Luk, James
openaire +1 more source