Results 71 to 80 of about 44,200 (340)

Adaptive Cruise Control Based on Model Predictive Control with Constraints Softening

Applied Sciences, 2020
In this paper, with the aim of meeting the requirements of car following, safety, comfort, and economy for adaptive cruise control (ACC) system, an ACC algorithm based on model predictive control (MPC) using constraints softening is proposed.
Lie Guo, Pingshu Ge, Dachuan Sun, Yanfu Qiao   +3 more
doaj   +1 more source

Longitudinal Dynamic versus Kinematic Models for Car-Following Control Using Deep Reinforcement Learning

, 2019
The majority of current studies on autonomous vehicle control via deep reinforcement learning (DRL) utilize point-mass kinematic models, neglecting vehicle dynamics which includes acceleration delay and acceleration command dynamics.
Azad, Nasser L., Lin, Yuan, McPhee, John
core   +1 more source

Model Predictive Adaptive Cruise Control

2010 IEEE International Conference on Systems, Man and Cybernetics, 2010
In this paper, the Model Predictive Control (MPC) structure is used to solve the ACC problem and the performance of the design is tested using a realistic nonlinear vehicle model. A hierarchical control structure is used where MPC is placed on top of the hierarchy while the actuators are controlled by simpler linear controllers.
Kural, Emre, Guvenc, Bilin Aksun
openaire   +2 more sources

Recent advances in multifunctional soft robots: A materials–structures–systems co‐design perspective for synergistic integration

FlexMat, EarlyView.
Abstract Soft robots, engineered from highly compliant materials, offer superior adaptability and safety in unstructured environments compared to their rigid counterparts. Recent advancements, fueled by bio‐inspiration and material programmability, have led to the rapid co‐evolution of their core modules: actuation, sensing, protection, energy, and ...
Qiulei Liu, Zicao Peng, Chong Sun, Haitao Yang   +3 more
wiley   +1 more source

Artificial Intelligence in Ophthalmology: Current Status, Challenges, and Future Perspectives

Health Care Science, EarlyView.
Current research of artificial intelligence (AI) in ophthalmology. ABSTRACT Artificial intelligence (AI) is revolutionizing ophthalmology by providing innovative solutions for disease screening, diagnosis, personalized treatment, and the delivery of global healthcare services.
She Chongyang, Tao Yong
wiley   +1 more source

Adaptive Model Predictive Control for Cruise Control of High-Speed Trains with Time-Varying Parameters

Journal of Advanced Transportation, 2019
The cruise control of high-speed trains is challenging due to the presence of time-varying air resistance coefficients and control constrains. Because the resistance coefficients for high-speed trains are not accurately known and will change with the ...
Xiaokang Xu, Jun Peng, Rui Zhang, Bin Chen, Feng Zhou, Yingze Yang, Kai Gao, Zhiwu Huang   +7 more
doaj   +1 more source

Operating Capacity, Pricing and Supply Elasticity in Container Shipping Markets

International Journal of Finance &Economics, EarlyView.
ABSTRACT We investigate the channels through which changes in operating capacity influence freight rates in the container shipping market using a novel dataset to create an operating capacity index at the shipping‐route level. Our analysis reveals that when supply elasticity is low, an increase in operating capacity tends to drive freight rates upward,
Cong Sui, Shang Wang, Jingmin Liang, Nikos K. Nomikos   +3 more
wiley   +1 more source

A Comparative Study in Fuzzy Control Systems for Cruise Control Vehicles

Journal of Engineering Research and Reviews
Aim: With cutting-edge technologies revolutionizing modern life, autonomous vehicles connected with in-frastructure applications are significantly impacting human life through technologies such as Vehi-cle-to-Everything (V2X), Vehicle-to-Infrastructure ...
Adnan Shaout, Malek I El Amr
doaj   +1 more source

Gaussian learning‐based fuzzy predictive cruise control for improving safety and economy of connected vehicles

IET Intelligent Transport Systems, 2020
This study considers an adaptive cruise control problem of connected vehicles in the vehicular ad‐hoc network and proposes a Gaussian learning‐based fuzzy predictive cruise control approach to enhance the fuel efficiency and safety of the connected ...
Defeng He, Binbin Peng
doaj   +1 more source

Automatic and efficient driving strategies while approaching a traffic light

, 2014
Vehicle-infrastructure communication opens up new ways to improve traffic flow efficiency at signalized intersections. In this study, we assume that equipped vehicles can obtain information about switching times of relevant traffic lights in advance ...
Kesting, Arne, Treiber, Martin
core   +1 more source