Results 261 to 270 of about 14,572 (301)
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Abnormal Traffic Detection Using Intelligent Driver Model
2010 20th International Conference on Pattern Recognition, 2010We present a novel approach for detecting and localizing abnormal traffic using intelligent driver model. Specifically, we advect particles over video sequence. By treating each particle as a car, we compute driver behavior using intelligent driver model.
Waqas Sultani, Jin Young Choi
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Hysteresis phenomena of the intelligent driver model for traffic flow
Physical Review E, 2007We present hysteresis phenomena of the intelligent driver model for traffic flow in a circular one-lane roadway. We show that the microscopic structure of traffic flow is dependent on its initial state by plotting the fraction of congested vehicles over the density, which shows a typical hysteresis loop, and by investigating the trajectories of ...
Wang, Dahui, Wei, Ziqiang, Fan, Ying
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Two-Dimensional Intelligent Driver Model with Vehicular Dynamics
SAE Technical Paper Series, 2022<div class="section abstract"><div class="htmlview paragraph">With the rapid rise of intelligent and connected vehicles (CVs), the traffic flow becomes more complex, and the accurate description of the microscopic behavior of the vehicle is crucial for studying the mixed traffic flow.</div><div class="htmlview paragraph">This ...
Zhang, Jiahao +2 more
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EVALPSN Based Intelligent Drivers’ Model
2006We introduce an intelligent drivers’ model for traffic simulation in a small area including some intersections, which models drivers’ decision making based on defeasible deontic reasoning and can deal with minute speed change of cars in the simulation system.
Kazumi Nakamatsu +2 more
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2019 IEEE Intelligent Vehicles Symposium (IV), 2019
The situation awareness of drivers during takeover from autonomous to manual mode is important for avoidance of accidents. Previous studies have revealed that takeover time and general performance vary strongly in different situations. The studies also revealed that the variation is due to surrounding traffic conditions, complexity of the driving ...
Foghor Tanshi, Dirk Söffker
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The situation awareness of drivers during takeover from autonomous to manual mode is important for avoidance of accidents. Previous studies have revealed that takeover time and general performance vary strongly in different situations. The studies also revealed that the variation is due to surrounding traffic conditions, complexity of the driving ...
Foghor Tanshi, Dirk Söffker
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The research of prediction model on intelligent vehicle based on driver’s perception
Cluster Computing, 2017In the field of self-driving technology, the stability and comfort of the intelligent vehicle are the focus of attention. The paper applies cognitive psychology theory to the research of driving behavior and analyzes the behavior mechanism about the driver’s operation. Through applying the theory of hierarchical analysis, we take the safety and comfort
Quanzhen Guan, Hong Bao, Zuxing Xuan
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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
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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, 2021In order to improve the adaptability and tracking performance of intelligent vehicles under complex driving conditions, and simulate the manipulation characteristics of the real driver in the driver–vehicle–road closed-loop system, a kind of adaptive preview time model for intelligent vehicle driver model is proposed.
Ju Xie +3 more
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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
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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
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