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Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2021
The driver model is the decision-making and control center of intelligent vehicle. In order to improve the adaptability of intelligent vehicles under complex driving conditions, and simulate the manipulation characteristics of the skilled driver under the driver-vehicle-road closed-loop system, a kind of human-like longitudinal driver model for ...
Ju Xie, Xing Xu, Feng Wang, Haobin Jiang
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The driver model is the decision-making and control center of intelligent vehicle. In order to improve the adaptability of intelligent vehicles under complex driving conditions, and simulate the manipulation characteristics of the skilled driver under the driver-vehicle-road closed-loop system, a kind of human-like longitudinal driver model for ...
Ju Xie, Xing Xu, Feng Wang, Haobin Jiang
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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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Analysis of the Generalized Intelligent Driver Model (GIDM) for Uncontrolled Intersections
2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021This paper proposes a Generalized Intelligent Driver Model (GIDM) as an extension of the Intelligent Driver Model (IDM) and analyzes its applicability to model uncontrolled intersection scenarios. We extend the original longitudinal car-following IDM with several terms: (1) for anticipatory acceleration capabilities, we include the most nearby backward
Karsten Kreutz, Julian Eggert
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Analysis of the Generalized Intelligent Driver Model (GIDM) for merging situations
2021 IEEE Intelligent Vehicles Symposium (IV), 2021In this paper, we propose and analyze a Generalized Intelligent Driver Model (GIDM) as an extension of the Intelligent Driver Model (IDM) for its applicability to model merging scenarios. For this purpose, we extend the original longitudinal car-following IDM with several terms: (1) for anticipatory acceleration capabilities, we include the most nearby
Karsten Kreutz, Julian Eggert
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Driver Behavior Model Based on Ontology for Intelligent Transportation Systems
2015 IEEE 8th International Conference on Service-Oriented Computing and Applications (SOCA), 2015Intelligent transportation systems are a set of technological solutions used to improve the performance and safety of road transportation. A crucial element that affects road safety is driver behavior, because driver errors are usually the principal cause of traffic accidents.
Susel Fernandez, Takayuki Ito
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Intelligent Vehicle's Driver Model Considering Longitudinal and Lateral Integrated Control
2018 IEEE International Conference on Mechatronics and Automation (ICMA), 2018A driver model has been designed in this paper. It includes a longitudinal controller and a lateral controller to control the velocity and track the desired path respectively. The longitudinal controller is designed by BP neural network algorithm, and its output is the driving torque of the wheel.
Zhen Sui +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 +2 more
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Does the Intelligent Driver Model Adequately Represent Human Drivers?
Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems, 2023Zeyu Mu, Fatemeh Jahedinia, B. Park
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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 ...
Tanshi, Foghor, Soffker, Dirk
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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 ...
Tanshi, Foghor, Soffker, Dirk
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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
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