Results 191 to 200 of about 14,545,214 (235)
Some of the next articles are maybe not open access.
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
openaire +2 more sources
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
openaire +2 more sources
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
openaire +2 more sources
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,
Martin Liebner +3 more
openaire +3 more sources
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
openaire +2 more sources
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
openaire +2 more sources
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
openaire +1 more source
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
openaire +2 more sources
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
openaire +3 more sources
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
openaire +3 more sources
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
openaire +2 more sources