Results 1 to 10 of about 12,319 (163)

Limitations and Improvements of the Intelligent Driver Model (IDM)

open access: yesSIAM Journal on Applied Dynamical Systems, 2022
28 pages, 20 ...
Alexandre M Bayen   +2 more
exaly   +5 more sources

An Intelligent Chinese Driver Road Performance Assessment Model (RPAM) for Future Licensing Examinations

open access: yesApplied Sciences, 2023
As the demand for private vehicles rises, there has been a gradual increase in the number of motor vehicles on the roads, leading to a growing concern about addressing traffic safety.
Jianguo Gong   +5 more
doaj   +3 more sources

Calibration of the Intelligent Driver Model (IDM) at the Microscopic Level

open access: yesFuture Transportation
This paper presents a calibration technique for the Intelligent Driver Model (IDM), a car-following model that considers the physical interpretation of each parameter. Using an instrumented vehicle, trajectory data were gathered for a group of Portuguese
LuĂ­s Vasconcelos, Jorge M. Bandeira
doaj   +2 more sources

Research on engine power-loss fault diagnosis method based on time-series data mining [PDF]

open access: yesScientific Reports
Traditional diagnostic approaches for engine power-loss faults in commercial vehicles are limited by their heavy reliance on on-site road testing and high consumption of human and material resources.
Li Feng   +7 more
doaj   +2 more sources

A Microscopic Traffic Model Considering Driver Reaction and Sensitivity

open access: yesApplied Sciences, 2023
A new microscopic traffic model is proposed that characterizes driver response according to reaction and sensitivity. Driver response in the intelligent driver (ID) model is based on a fixed acceleration exponent and so does not follow traffic physics ...
Faryal Ali   +4 more
doaj   +1 more source

A New Driver Model Based on Driver Response

open access: yesApplied Sciences, 2022
In this paper, a new microscopic traffic model based on forward and rearward driver response is proposed. Driver response is characterized using the distance and time headways.
Faryal Ali   +4 more
doaj   +1 more source

Adaptive driver following model that integrates perception process and driving behavior

open access: yesScientific Reports, 2022
In order to meet the personalized needs of Chinese intelligent vehicles and improve the satisfaction and acceptance of human–computer interaction and collaboration in domestic intelligent vehicles.
Changhao Piao   +3 more
doaj   +1 more source

Extreme Gradient Boosting (XGBoost) Model for Vehicle Trajectory Prediction in Connected and Autonomous Vehicle Environment

open access: yesPromet (Zagreb), 2021
Connected and autonomous vehicles (CAVs) have the ability to receive information on their leading vehicles through multiple sensors and vehicle-to-vehicle (V2V) technology and then predict their future behaviour thus to improve roadway safety and ...
Pengfei Liu, Wei Fan
doaj   +1 more source

Reinforcement Learning-Based Control of Signalized Intersections Having Platoons

open access: yesIEEE Access, 2022
Smart transportation cities are based on intelligent systems and data sharing, whereas human drivers generally have limited capabilities and imperfect traffic observations.
Anas Berbar   +6 more
doaj   +1 more source

AutoCoach: An Intelligent Driver Behavior Feedback Agent with Personality-Based Driver Models [PDF]

open access: yesElectronics, 2021
Nowadays, AI has many applications in everyday human activities such as exercise, eating, sleeping, and automobile driving. Tech companies can apply AI to identify individual behaviors (e.g., walking, eating, driving), analyze them, and offer personalized feedback to help individuals make improvements accordingly.
Zahraa Marafie   +6 more
openaire   +1 more source

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