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Modeling and analyzing V2V communication limitations impacts on connected and automated vehicle platoons. [PDF]
PLoS OneDai Y, Hu L, Liu Y, Yang A.
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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 ...
Jiahao Zhang, Hongsheng Qi, Yukai Zhang
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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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Integrating Human Panic Factor in Intelligent Driver Model
2020 3rd International Conference on Advancements in Computational Sciences (ICACS), 2020This study aims to explore the effects of human panic factor on drivers' driving behavior. Most of the car following models focus on idealistic situations aiming for perfection, traffic psychology, however, suggests that emotions do play a significant role in drivers' behavior which in result effect their driving and decision making.
Hifsa Tanveer +2 more
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An intelligent driver model with trajectory planning
2012 15th International IEEE Conference on Intelligent Transportation Systems, 2012This paper presents an overall concept and framework of a driver model with the intent to generate realistic traffic flow and motion while reflecting the nature of driving characteristics. The proposed driver model simulates a driver's driving on the road with proper trajectory planning mechanism that takes into account the surrounding environment ...
Sumin Zhang +4 more
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Driver intent inference at urban intersections using the intelligent driver model
2012 IEEE Intelligent Vehicles Symposium, 2012Predicting turn and stop maneuvers of potentially errant drivers is a basic requirement for advanced driver assistance systems for urban intersections. Previous work has shown that an early estimate of the driver's intent can be inferred by evaluating the vehicle's speed during the intersection approach. In the presence of a preceding vehicle, however,
Liebner, Martin +3 more
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Modified Intelligent Driver Model for driver safety and traffic stability improvement
IFAC Proceedings Volumes, 2013The Intelligent Driver Model (IDM) is an Adaptive Cruise Control (ACC) model which is widely used for longitudinal vehicle motion modeling. The IDM presents important advantages against the other ACC models which are the availability and the intuitive of its parameters.
Derbel, Oussama +4 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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Real-World Driving Features for Identifying Intelligent Driver Model Parameters
SAE Technical Paper Series, 2021<div class="section abstract"><div class="htmlview paragraph">Driver behavior models play a significant role in representing different driving styles and the associated relationships with traffic patterns and vehicle energy consumption in simulation studies.
Bharatkumar Hegde +4 more
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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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