A5100343072- Traffic control and management
- Traffic Prediction and Management Techniques
- Transportation Planning and Optimization
- Traffic and Road Safety
- Autonomous Vehicle Technology and Safety
- Advanced Sensor and Control Systems
- Electric and Hybrid Vehicle Technologies
- Urban Transport and Accessibility
- Vehicle Dynamics and Control Systems
- Transportation and Mobility Innovations
- Simulation and Modeling Applications
- Industrial Technology and Control Systems
- Human-Automation Interaction and Safety
- Advanced Algorithms and Applications
- Electric Motor Design and Analysis
- Physics of Superconductivity and Magnetism
- Vehicle emissions and performance
- Vehicular Ad Hoc Networks (VANETs)
- Magnetic Bearings and Levitation Dynamics
- Adaptive Control of Nonlinear Systems
- Network Security and Intrusion Detection
- Real-time simulation and control systems
- Anomaly Detection Techniques and Applications
- Power Systems and Renewable Energy
- Thermal Analysis in Power Transmission
Hefei Institute of Technology Innovation
2019-2025
Beihang University
2017-2025
State Grid Corporation of China (China)
2025
Sun Yat-sen University
2025
Innovation Research Center
2019-2025
Anhui Medical University
2025
Beijing Jiaotong University
2024
Henan Provincial Eye Hospital
2024
Zhengzhou University
2024
Guizhou Electric Power Design and Research Institute
2022-2024
Active collision avoidance system has received more and attraction, which the capability to avoid potential accidents reduce driver burden. This paper proposes an active consists of a path planner coordinated lateral controller. In planner, cubic B-spline is developed obtain collision-free trajectories bypass obstacle by steering. Based on this, dynamic control autonomous ground vehicles presented improve accuracy robustness following simultaneously ensure vehicle stability via front...
Purpose This paper aims to use active fine lane management methods solve the problem of congestion in a weaving area and provide theoretical technical support for traffic control under environment intelligent connected vehicles (ICVs) future. Design/methodology/approach By analyzing capacities behaviors domestic foreign areas combining them with field investigation, proposes ICVs optimal driving behavior area. The VISSIM simulation flow vehicle urban expressways was performed using research...
In recent years, the adaptive cruise control (ACC) system has become widely adopted. The vehicle-positioning plays an important role in automotive platoon driving and can provide vehicle-position information through vehicle-to-vehicle communication. However, acquired often presents uncertainties given existence of variations traffic environment noise system. These uncertainties, turn, influence car-following performance a vehicle platoon. this study, we employ desired safety margin (DSM)...
Summary This article investigates the adaptive finite‐time control design with performance assurance for nonlinear Markov jumping systems. First, radial basis function neural networks are applied to tackle unknown terms. Subsequently, within framework of command‐filtered backstepping control, new error compensation signals devised remove effect caused by filter error. Additionally, an prescribed law event‐triggered mechanism is developed achieve a balance between tracking and bandwidth...
Scaling is one of the common problems in circulating cooling water systems, which can significantly affect efficiency equipment severe cases. At present, problem scaling usually controlled by adding treatment agents. However, taking external system synchronous condenser an ultra-high-voltage converter station as example, due to lack scientific understanding scale inhibitors, there often a excessive dosing, resulting unsatisfactory inhibition effects and difficulties wastewater discharge. In...
Car following is the most common phenomenon in single-lane traffic. However, propagation of small perturbation velocity leading car will affect traffic flow. Driving behaviors play an important role determination qualitative dynamics vehicles car-following process. Under different environments, driving depend on level perceived risk, acceleration and deceleration habits, reaction characteristics driver. The desired safety margin (DSM) model can directly describe process by using parameters...
This study presents a stochastic model based on the link performance function of Bureau Public Roads to assess reliability travel time in transportation network. Empirical studies have verified that variability can be ascribed demand fluctuation and degradation capacity The mean‐variance approach previous research presented budget time, with network elastic as sources uncertainty time. Previous was devoted estimation considering single factor or independent these two sources. Meanwhile, this...
In this paper, an extended desired safety margin (DSM) car-following model is proposed by accounting for the effect of variation historical perceived risk and acceptable in terms DSM model. By conducting gray correlation analysis, investigation carried out into whether has important effects on acceleration or deceleration a target vehicle based real-vehicle test platform. Through simulated results, dynamic performance investigated comparison with Conclusions show that can better reflect...
Magnetically levitated (maglev) trains with superconducting technology has been developed rapidly in recent decades due to such promising features as high cruising speed. The second-generation high-temperature (2G HTS) magnets used on maglev are state-of-the-art among different types of magnets, like permanent electromagnets, or low-temperature magnets. A series works have done by the group development 2G HTS maglev, including optimal design, manufacturing, and testing ground propulsion...
Superconducting magnetically levitated (SC maglev) trains have developed rapidly in recent decades due to their promising features, such as a high cruising speed. A series of R& work has been done develop second-generation high-temperature superconducting (2G HTS) maglevs, including regarding the design, optimization, and manufacturing on-board 2G HTS magnet system ground propulsion system. This article is continuation this research progress, mainly focusing on long stator three-phase...
Exploring the influence of secondary task immersion duration on take-over process is an important in research conditional automated driving (SAE, L3). In this paper, with tool simulation, two different types and request (TOR) times were designed for ramp area scenario. Forty-two participants recruited to conduct simulation experiments. Based K-means algorithm, durations tasks clustered. Three indicators, namely speed, lateral offset, accelerator pedal depth, selected characterize...