Results 11 to 20 of about 14,545,214 (235)
Modified Intelligent Driver Model [PDF]
Periodica Polytechnica Transportation Engineering, 2012 The intelligent Driver Model (IDM) is an Adaptive Cruise Control (ACC) model which is wide used in transportation research. Although implementation simplicity in case of simulation, this model has drawbacks in terms of respect of the vehicle's capability and driver safety.
Derbel, Oussama +4 more
core +6 more sources
Driver Primary School newsletter
, 2020 Made available via the Publications (Legal Deposit) Act 2004 (NT).This publication contains many links to external sites.
core +15 more sources
Intelligent mobility control of a hybrid electric off-road vehicle with individual wheel control [PDF]
, 2003 This work focuses on the potential benefits that can be gained from the use of Individual Wheel Control on a large off-road vehicle. The vehicle concerned is a theoretical, six-wheel drive, off-road Hybrid-Electric Vehicle based on an existing ...
Jackson, Andrew Edward
core +7 more sources
Real Time Driver Fatigue Detection System Based on Multi-Task ConNN
IEEE Access, 2020 Changes and progresses in information technologies have played an important role in the development of intelligent vehicle systems in recent years. Driver fatigue is an important factor in vehicle accidents.
Burcu Kir Savas, Yasar Becerikli
doaj +1 more source
Reinforcement Learning-Based Control of Signalized Intersections Having Platoons
IEEE 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]
Electronics, 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
Applied Sciences, 2021 This paper presents an uncontrolled intersection-passing algorithm with an integrated approach of stochastic model-predictive control and prediction uncertainty estimation for autonomous vehicles. The proposed algorithm is designed to utilize information
Yonghwan Jeong
doaj +1 more source
SUMO Conference Proceedings, 2023 In this study, the physical principles governing car-following (CF) behavior and their impact on traffic flow at signalized intersections are investigated. High temporal-resolution radar data is used to provide valuable insights into actual CF behavior,
Max Schrader +2 more
doaj +1 more source
Intelligent Whistling System of Rail Train Based on YOLOv4 and U-Net
Applied Sciences, 2023 The whistle of the rail train is usually directly controlled by the driver. However, in long-distance transportation, there is a risk of traffic accidents due to driver fatigue or distraction.
Kai Wang +4 more
doaj +1 more source
In loco intellegentia: Human factors for the future European train driver [PDF]
, 2006 The European Rail Traffic Management System (ERTMS) represents a step change in technology for rail operations in Europe. It comprises track-to-train communications and intelligent on-board systems providing an unprecedented degree of support to the ...
Stanton, Neville A +8 more
core +1 more source