A5101987780- Autonomous Vehicle Technology and Safety
- Traffic control and management
- Vehicle Dynamics and Control Systems
- Numerical methods in engineering
- Manufacturing Process and Optimization
- Metallurgy and Material Forming
- Metal Forming Simulation Techniques
- Simulation and Modeling Applications
- Transportation Safety and Impact Analysis
- Automotive and Human Injury Biomechanics
- Electromagnetic Simulation and Numerical Methods
- Traffic Prediction and Management Techniques
- Transportation Planning and Optimization
- Vehicle emissions and performance
- Industrial Technology and Control Systems
- Laser and Thermal Forming Techniques
- Vehicular Ad Hoc Networks (VANETs)
- Advanced Numerical Analysis Techniques
- Mechanical stress and fatigue analysis
- Engineering Applied Research
- Dynamics and Control of Mechanical Systems
- Mechanical Engineering and Vibrations Research
- Traffic and Road Safety
- Control and Dynamics of Mobile Robots
- Hydraulic and Pneumatic Systems
Chinese Academy of Engineering
2020-2025
Hunan University
2008-2024
Tsinghua University
2018-2024
Nantong University
2006-2023
Zhejiang University
2023
Civil Aviation University of China
2023
East China University of Science and Technology
2023
Chongqing University
2023
China State Construction Engineering (China)
2022
Xiamen University
2022
Abstract Linearly conforming point interpolation method (LC‐PIM) is formulated for three‐dimensional elasticity problems. In this method, shape functions are generated using by adopting polynomial basis and local supporting nodes selected based on the background cells. The so constructed have Kronecker delta property it allows straightforward imposition of essential boundary conditions. Galerkin weak form used creating discretized system equations, a nodal integration scheme with...
Uncertainty is a major concern in vehicle path tracking control design. The coefficients of the uncertainty bound are unknown. They assumed to lie within prescribed fuzzy sets. First, based on kinematic model, this article innovatively formulates task as constraint-following problem. Second, we put forward deterministic adaptive robust law with tunable parameter ensure uniform boundedness and ultimate closed-loop system. Third, an optimal scheme for proposed uncertainty. resulting (ORC)...
Cooperative on-ramp merging control for connected and automated vehicles have been widely studied in recent years. One of the major challenges this multi-vehicle coordination problem is to execute a safe efficient process considering realistic uncertainties vehicle dynamics. This paper puts forward two-layer framework made up centralized sequencing distributed control. A Roadside Agent installed area identifies sequence approaching terms their estimated time arrival at point. Once...
In mixed and dynamic traffic environments, accurate long-term trajectory forecasting of surrounding vehicles is one the indispensable preconditions for autonomous to accomplish reasonable behavioral decisions guarantee driving safety. this paper, we propose an integrated probabilistic architecture vehicle prediction, which consists a inference model (DIM) prediction (TPM). The DIM designed employed accurately infer potential intention based on Bayesian network. proposed incorporates basic...
This paper presents a robust path tracking control method by utilizing the ideology of constraint-following approach for uncertain underactuated autonomous vehicles. The uncertainties are bounded with an unknown boundary. They do not all fall within range space input matrix. Based on kinematic relations between desired and vehicle, task is transformed into equality constraint vehicle lateral dynamics states. goal to make follow constraint, thus realizing performance. (CFRC) designed in two...
The varying real-world road conditions (eg. slopes, speed limits) have great effects on the vehicle dynamics and fuel characteristics. lack of consideration for these may lead to deteriorative economy even collisions. This paper presents a hierarchical control framework connected automated vehicular platoon subject time-vary uncertain uniform communication delays. method minimizes consumptions ensures tracking performance premise collision-free property. Firstly, centralized ecological...
Based on Monte Carlo simulation and greedy algorithm, this paper explores the optimization scheme of crop planting under different conditions. First, for stable market conditions, establishes an objective planning model to optimize plan from 2024 2030 by maximizing annual revenue combining constraints various economic indicators. Further, considering that part may be stagnant or sold at a discounted price, impacts sales scenarios strategy. Then, strategy uncertainty, uses time series...
A novel Udwadia-Kalaba approach for parallel manipulator dynamics analysis is presented. The segments a system into several leg-subsystems and the platform subsystem, which are connected by kinematic constraints. equation then used to calculate constraint forces due Based on this, of motion, an explicit (i.e., closed) form, can be formulated. method allows systematic procedure generate dynamic model both direct inverse without invoking additional variables (such as multipliers or...
Cooperative adaptive cruise control (CACC) has the potential to significantly improve road safety, highway throughput and reduce fuel consumption. However, safety of intended functionality (SOTIF) CACC that focuses on unreasonable risks related performance limitations not been addressed. Moreover, various unknown uncertainties, disturbances, controller perturbations present in environment make guarantee SOTIF for a more challenging problem. This study presents robust non-fragile fault...
As one of the typical applications connected vehicles (CVs), vehicle platoon control technique has been proven to have advantages reducing emissions, improving traffic throughout and driving safety. In this paper, a unified hierarchical framework is designed for cooperative CVs with both heterogeneous model parameters structures. By separating neighboring information interaction from local dynamics control, proposed contain an upper-level observing layer lower-level tracking layer, which...
The vehicle dynamics model serves as a vital component of autonomous driving systems, it describes the temporal changes in state. In long period, researchers have made significant endeavors to accurately dynamics. Traditional physics-based methods employ mathematical formulae dynamics, but they are unable adequately describe complex systems due simplifications entail. Recent advancements deep learning-based addressed this limitation by directly regressing However, performance and...
Probabilistic trajectory prediction for other vehicles can be an effective way to improve the understanding of dynamic and stochastic traffic environment automated vehicles. One challenge is how predict vehicle accurately both in short-term long-term horizon. In this paper, we propose integrated approach combining driver characteristic intention estimation (DCIE) model with Gaussian process (GP) model. Our proposed method makes use low-level high-level information inquires parameters by...