A5085350749- Transportation Planning and Optimization
- Traffic Prediction and Management Techniques
- Traffic control and management
- Human Mobility and Location-Based Analysis
- Data-Driven Disease Surveillance
- Land Use and Ecosystem Services
- Urban Design and Spatial Analysis
- Solar Radiation and Photovoltaics
- E-Government and Public Services
- Spatial and Panel Data Analysis
- COVID-19 epidemiological studies
- Robotic Path Planning Algorithms
- Transportation and Mobility Innovations
- Healthcare Systems and Reforms
- Atmospheric and Environmental Gas Dynamics
- Tuberculosis Research and Epidemiology
- Multi-Criteria Decision Making
- Adaptive Dynamic Programming Control
- Healthcare Policy and Management
- Plant Water Relations and Carbon Dynamics
- Urban Green Space and Health
- Reinforcement Learning in Robotics
- demographic modeling and climate adaptation
- Railway Systems and Energy Efficiency
- Urban Transport and Accessibility
Anhui University
2021-2023
Wuhan University
2014-2021
National Administration of Surveying, Mapping and Geoinformation of China
2016
Tuberculosis (TB) is an infectious disease with one of the highest reported incidences in China. The detection spatio-temporal distribution characteristics TB indicative its prevention and control conditions. Trajectory similarity analysis detects variations loopholes provides urban public health officials related decision makers more information for allocation resources formulation prioritized health-related policies. This study analysed from 2009 to 2014 by utilizing spatial statistics,...
With the development of economy and acceleration urbanization, traffic congestion has become a worldwide problem. Advances in mobile Internet sensor technologies have increased real-time data sharing, providing new opportunity for urban route planning. However, due to difficulty handling complex global information, making correct decisions large-scale environments is problem that urgently needs be solved. In this paper, multiple planning model (multi-route dynamic programming (DP) model)...
Considering the high morbidity of hepatitis B in China, many epidemiological studies based on classic medical statistical analysis have been started but lack spatial information. However, information such as distribution, autocorrelation and risk factors disease is great help studying patients with B. This study examined 2851 cases that were hospitalized Shenzhen 2010 studied access to health services using interpolation, Pearson correlation improved two-step floating catchment area method....
As the era of big data approaches, has attracted increasing amounts attention from researchers. Various types studies have been conducted and these focused particularly on management, organization, correlation calculations using data. Most involving address applications in scientific, commercial, ecological fields. However, application to government management is also needed. This paper examines multi-source urban construction supervision Tianjin, China. The analytic hierarchy process a new...
Traffic congestion, especially during peak hours, has become a challenge for transportation systems in many metropolitan areas, and such congestion causes delays negative effects passengers. Many studies have examined the prediction of congestion; however, these focus mainly on road traffic, subway transit, which is main form densely populated cities, as Tokyo, Paris, Beijing Shenzhen China, seldom been examined. This study takes case predicting system hours proposes hybrid method that...
As serious traffic problems have increased throughout the world, various types of studies, especially simulations, been conducted to investigate this issue. Activity-based simulation models, such as MATSim (Multi-Agent Transport Simulation), are intended identify optimal combinations activities in time and space. It is also necessary examine commuting-based simulations. Such simulations focus on optimizing travel times by adjusting departure times, modes or routes present suggestions public....
Passenger flow prediction is an important part of the daily operation metro, and its accuracy significantly affects deployment train resources passenger service management. Because metro has complex spatial temporal correlation characteristics, describing these characteristics key to improving prediction. Existing models can adequately characterize station flow. However, for flow, existing are mainly characterized by predefined static maps construction comprehensive similarity matrices...
As urbanization progresses at an unprecedented pace, the strain on public transit systems during peak commuting hours has become a pressing issue. The lack of capacity resources led to problems, such as overcrowding stations and longer travel times. Existing studies have primarily focused optimizing vehicle operations managing passenger flows. However, several key aspects must be addressed: (1) proposed optimization schemes often require highly refined rail (RT) operation maintenance, making...
With the development of urban economy, and continuous expansion vehicle scale, traffic congestion has become most serious problem affecting contemporary development. Using advanced road network information perception transmission technologies, path planning under real-time conditions an important means to solve this problem. Previously, our proposed model-based reinforcement learning multipath algorithm realized rapid response result, alleviating drift a certain extent. However, further...