Results 1 to 10 of about 12,319 (163)
Limitations and Improvements of the Intelligent Driver Model (IDM)
28 pages, 20 ...
Alexandre M Bayen +2 more
exaly +5 more sources
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
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]
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
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
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
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
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
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]
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

