Results 1 to 10 of about 12,350 (162)

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

Future 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
Luís Vasconcelos, Jorge M. Bandeira
doaj   +4 more sources

Limitations and Improvements of the Intelligent Driver Model (IDM)

SIAM Journal on Applied Dynamical Systems, 2022
28 pages, 20 ...
Xiaoqian Gong, Benedetto Piccoli, Alexandre Bayen   +2 more
exaly   +5 more sources

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

Applied 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, Boao Zhang, Yibing Liu, Jiayi Lu, Yuan Ma, Yaoguang Cao   +5 more
doaj   +3 more sources

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

Scientific 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, Le Liu, Hongsheng Xu, Sumeng Gao, Hai Tang, Jianing Cui, Bin Zhang, Yufeng Rao   +7 more
doaj   +2 more sources

A Microscopic Traffic Model Considering Driver Reaction and Sensitivity

Applied 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, Zawar Hussain Khan, Thomas Aaron Gulliver, Khurram Shehzad Khattak, Ahmed B. Altamimi   +4 more
doaj   +1 more source

A New Driver Model Based on Driver Response

Applied 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, Zawar Hussain Khan, Fayaz Ahmad Khan, Khurram Shehzad Khattak, Thomas Aaron Gulliver   +4 more
doaj   +1 more source

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

Promet (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

Adaptive driver following model that integrates perception process and driving behavior

Scientific 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, Kexin Li, Qifan Yu, Junren Shi   +3 more
doaj   +1 more source

Intelligent Driver Model-Based Vehicular Ad Hoc Network Communication in Real-Time Using 5G New Radio Wireless Networks

IEEE Access, 2023
Vehicular ad hoc networks (VANETs) are self-organizing, open-structure inter-vehicle communication networks, along with wireless communication technology and transportation.
Rashid Ali, Ran Liu, Anand Nayyar, Idrees Waris, Linjing Li, Mohd Asif Shah   +5 more
doaj   +1 more source

A Microscopic Heterogeneous Traffic Flow Model Considering Distance Headway

Mathematics, 2022
The intelligent driver (ID) model characterizes traffic behavior with a constant acceleration exponent and does not follow traffic physics. This results in unrealistic traffic behavior. In this paper, a new microscopic heterogeneous traffic flow model is
Faryal Ali, Zawar Hussain Khan, Khurram Shehzad Khattak, Thomas Aaron Gulliver, Akhtar Nawaz Khan   +4 more
doaj   +1 more source