A5090963178- Traffic control and management
- Traffic and Road Safety
- Traffic Prediction and Management Techniques
- Transportation Planning and Optimization
- Autonomous Vehicle Technology and Safety
- Human-Automation Interaction and Safety
- Industrial Technology and Control Systems
- Vehicle emissions and performance
- Vehicular Ad Hoc Networks (VANETs)
- Safety Warnings and Signage
- Simulation and Modeling Applications
- Advanced Sensor and Control Systems
- Vehicle Dynamics and Control Systems
- Advanced Computational Techniques and Applications
- Advanced Optical Network Technologies
- Urban Transport and Accessibility
- Advanced Algorithms and Applications
- Energy Efficient Wireless Sensor Networks
- Network Traffic and Congestion Control
- Pluripotent Stem Cells Research
- Coal Properties and Utilization
- Persona Design and Applications
- Smart Parking Systems Research
- Traditional Chinese Medicine Studies
- Metaheuristic Optimization Algorithms Research
Beijing University of Technology
2016-2025
Xinjiang University
2022-2025
University of Jyväskylä
2024
Dalian University of Technology
2024
Shenzhen Institutes of Advanced Technology
2024
Chinese Academy of Sciences
2024
Donghua University
2022-2023
Zhongnan University of Economics and Law
2023
University of Shanghai for Science and Technology
2022
Jiangsu Normal University
2022
The future trajectory prediction of heterogeneous traffic-agents for autonomous vehicles in mixed traffic scene is great significance safe and reliable driving. Thus, we propose the Multi-View Adaptive Hierarchical Spatial Graph Convolution Network (MVHGN) to predict trajectories traffic-agents. Firstly, multiple logical correlations are obtained based on time series data a multi-view network constructed. feature extraction realized graph convolution module. Then, combining features adaptive...
Connected vehicle technology has potentials to increase traffic safety, reduce pollution, and ease congestion. In the connected environment, information interaction among people, cars, roads, environment is significantly enhanced, driver behavior will change accordingly due increased external stimulation. This paper designed a Vehicle-to-Vehicle (V2V) on-board unit (OBU) based on driving demand. addition, simulation platform for interconnection communication between OBU simulator was built....
Vehicle trajectory prediction is a challenging problem in the field of autonomous driving, which great significance to safety driving and traffic roads. In view interaction between surrounding vehicles target vehicle its own trajectory, we propose new graph network model predict future trajectory. First, correlation at each time constructed based on complex method. order make up for lack real spatial relevance caused by fixed graph, an adaptive parameter matrix coordinate optimize global...
The CO2 injection technology for replacing CH4 to enhance coalbed methane (CBM) recovery (CO2-ECBM) offers dual benefits, i.e., reducing emissions through sequestration and increasing CBM recovery, thereby leading economic gains. However, there is no clear consensus on how temperature pressure affect the competitive adsorption characteristics of mixed gases in coal. Therefore, behavior at various pressures temperatures were investigated using breakthrough curve method. Anthracite was...
The control of connected autonomous vehicles (CAVs) for cooperative sensing and driving in mixed traffic flows is critical the development intelligent transportation systems. However, challenge lies effectively representing learning from interactions between heterogeneous agents, as well complex states they produce. To address this, we propose Multi-View Graph Convolution Network Reinforcement Learning (MVGRL) algorithm decision-making CAVs scenarios. First, multi-view graphs are constructed...
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...
Road traffic state estimation is an essential component of intelligent transportation systems (ITSs). However, road data collected by detectors are often incomplete, which can cause problems across a variety applications, such as prediction and pattern recognition. We present GA-GAN (Graph Aggregate Generative Adversarial Network), consisting graph sample aggregate (GraphSAGE) generative adversarial network (GAN), to impute missing data. Instead using the original structure, presents spatial...