A5103015340- Traffic control and management
- Transportation Planning and Optimization
- Traffic Prediction and Management Techniques
- Evacuation and Crowd Dynamics
- Cellular Automata and Applications
- Traffic and Road Safety
- Human Mobility and Location-Based Analysis
- Urban and Freight Transport Logistics
- Complex Network Analysis Techniques
- Transportation and Mobility Innovations
- Opinion Dynamics and Social Influence
- Urban Transport and Accessibility
- Autonomous Vehicle Technology and Safety
- Chaos control and synchronization
- Railway Systems and Energy Efficiency
- Network Traffic and Congestion Control
- Complex Systems and Time Series Analysis
- Fluid Dynamics and Turbulent Flows
- Vehicle emissions and performance
- Vehicle Routing Optimization Methods
- Stochastic processes and statistical mechanics
- Advanced Optimization Algorithms Research
- Health and Well-being Studies
- Plant Surface Properties and Treatments
- Maritime Ports and Logistics
Beijing Jiaotong University
2016-2025
Tianjin Chengjian University
2025
Ministry of Transport
2019-2022
University of Science and Technology of China
2009
Beihang University
2007
Shandong University of Science and Technology
2005
As a typical self-driven many-particle system far from equilibrium, traffic flow exhibits diverse fascinating non-equilibrium phenomena, most of which are closely related to stability and specifically the growth/dissipation pattern disturbances. However, theories have been controversial due lack precise data. We studied new perspective by carrying out large-scale car-following experiment on an open road section, overcomes intrinsic deficiency empirical observations. The has shown clearly...
Based on the full velocity difference (FVD) model proposed by Jiang and Wu, we present an extended car_following model, called multiple (MVD) model. We attempt to enhance stability of traffic flow using differences vehicles. It can be found that critical value sensitivity in MVD decreases stable region is apparently enlarged, compared with FVD Additionally, simulated results suggest suppress jam effectively.
In the case of two-lane traffic, vehicle drivers always worry about lane changing actions from neighbor lane. This paper studies stability a car-following model on two lanes which incorporates lateral effects in traffic. The condition is obtained by using linear theory. modified Korteweg-de Vries equation constructed and solved, three types traffic flows headway-sensitivity space--stable, metastable, unstable--are classified. Both analytical simulation results show that anxiousness indeed...
Summary In this paper, a new cellular automata model is proposed to simulate the car and bicycle heterogeneous traffic on urban road. To capture complex interactions between these two types of vehicles, novel occupancy rule adopted in consider variable lateral distances mixed vehicular traffic. Based massive simulations, microscopic fundamental diagrams under different densities are devised. With these, bicycle's spilling behavior then investigated discussed. order reflect interference car,...
The goal of Remote Sensing Change Detection (RSCD) is to identify and extract changes in the Earth's surface through registered images. Nevertheless, existing Convolutional Neural Networks (CNN) approach has high storage computing costs, which difficult be successfully applied real world. In response this, we propose a lightweight remote sensing change detection network called Multi-Level Dense Connections Channel Attention Lightweight Network (MCLNet). model dual encoder based on ResNet34...