A5039826452- Traffic control and management
- Traffic Prediction and Management Techniques
- Transportation and Mobility Innovations
- Transportation Planning and Optimization
- Urban Transport and Accessibility
- Autonomous Vehicle Technology and Safety
- Access Control and Trust
- Human-Automation Interaction and Safety
- Disaster Management and Resilience
- Infrastructure Resilience and Vulnerability Analysis
- Network Traffic and Congestion Control
- Impact of Light on Environment and Health
- Risk and Safety Analysis
- COVID-19 epidemiological studies
- Innovative Teaching and Learning Methods
- Sharing Economy and Platforms
Tsinghua University
2020-2024
Southeast University
2022
Traffic signal control is essential to the efficiency of road network's operation. In recent years, more and detailed detection data provide potential support for traffic control, such as license plate recognition (LPR) data. This study aims develop a optimization method based on model predictive (MPC) LPR The proposed framework closed-loop system described in detail. First, objectives queue prediction signalized intersection are determined. Then, online feedback compensation discussed...
The global outbreak of coronavirus disease 2019 (COVID-19) has affected the urban mobility nations around world. pandemic may even have a potentially lasting impact on travel behaviors during post-pandemic stage. China basically stopped spread COVID-19 and reopened economy, providing an unprecedented environment for investigating behaviors. This study conducts multiple investigations to show changes in stage, basis empirical data variety cities China. Specifically, this demonstrates road...
This paper presents a network-level signal predictive control strategy considering dynamic user-optimal routing. In the connected vehicle (CV) environment, drivers can access real-time network traffic conditions and schemes, actively choose their best routes. With position target route information provided by CV s, optimization model is established. The formulated as mixed integer linear programming problem solved using decentralized solution framework that decomposes it into...