Dayong Wu
Biographic Data
| ID | 5465513 |
|---|---|
| NAME | Dayong Wu |
| GIVEN NAMES | Dayong |
| FAMILY NAME | Wu |
| SIGNATURE | WU D |
| AFFILIATIONS | Texas Department of Transportation |
| ORCID | 0000-0003-0525-6374 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Leveraging connected vehicle data for near-crash detection and analysis in urban environments
Urban traffic safety is a pressing concern in modern transportation systems, especially in rapidly expanding metropolitan areas where traffic congestion and diverse driving behavior increase the risk of traffic incidents. As situations in which vehicles come close to colliding while in motion (i.e., drivers took rapid evasive action to avoid an actual crash), near-crash events offer more sensitive insight into underlying roadway safety risks than…
Evaluating probe-based data for travel demand analysis
Comparing connected vehicle and mobile phone data for urban mobility analysis
Connected vehicle (CV) data are increasingly available and widely used in transportation engineering for traffic monitoring, safety analysis, and infrastructure planning. However, the representativeness of CV data in general urban mobility analysis remains underexplored, raising concerns about potential biases between observed mobility patterns in CV data and actual travel behaviors, particularly across different demographic and socioeconomic gro…
Generating conceptual landscape design via text-to-image generative AI model
This study explores the integration of text-to-image generative AI, particularly Stable Diffusion, in conjunction with ControlNet and LoRA models in conceptual landscape design. Traditional methods in landscape design are often time-consuming and limited by the designer’s individual creativity, also often lacking efficiency in the exploration of diverse design solutions. By leveraging AI tools, we demonstrate a workflow that efficiently generates…
Artificial Intelligence in urban design
Establishment and Application of the Assessment System on Ecosystem Health for Restored Urban Rivers in North China
The study on ecosystem health evaluation for restored urban rivers is of specific significance to improving river health and realizing the adaptive management for urban river ecosystems. Based on the health definition of restored urban rivers in North China, this study attempted to set up a system of alternative indicators on ecosystem health assessment, including water quality, water regime, aquatic organism, riparian environment, and physical m…
Estimation of Emissions at Signalized Intersections Using an Improved Moves Model with GPS Data
Emissions from the transport sector are responsible for a large proportion of urban air pollution. Scientific and efficient measurements on traffic pollution emissions have already been a vital concern of decision makers in environmental protection. In China or other counties, many high-technology companies, such as Baidu, DiDi, have a large number of real-time GPS traffic data, but such data have not been fully exploited, especially in purpose o…
Using Grey Relational Analysis to Evaluate Energy Consumption, CO2 Emissions and Growth Patterns in China’s Provincial Transportation Sectors
The transportation sector is a complex system. Collecting transportation activity and the associated emissions data is extremely expensive and time-consuming. Grey Relational Analysis provides a viable alternative to overcome data insufficiency and gives insights for decision makers into such a complex system. In this paper, we achieved three major goals: (i) we explored the inter-relationships among transportation development, energy consumption…
No prominent works on this page.
Using Grey Relational Analysis to Evaluate Energy Consumption, CO2 Emissions and Growth Patterns in China’s Provincial Transportation Sectors
The transportation sector is a complex system. Collecting transportation activity and the associated emissions data is extremely expensive and time-consuming. Grey Relational Analysis provides a viable alternative to overcome data insufficiency and gives insights for decision makers into such a complex system. In this paper, we achieved three major goals: (i) we explored the inter-relationships among transportation development, energy consumption…
Estimation of Emissions at Signalized Intersections Using an Improved Moves Model with GPS Data
Emissions from the transport sector are responsible for a large proportion of urban air pollution. Scientific and efficient measurements on traffic pollution emissions have already been a vital concern of decision makers in environmental protection. In China or other counties, many high-technology companies, such as Baidu, DiDi, have a large number of real-time GPS traffic data, but such data have not been fully exploited, especially in purpose o…
Establishment and Application of the Assessment System on Ecosystem Health for Restored Urban Rivers in North China
The study on ecosystem health evaluation for restored urban rivers is of specific significance to improving river health and realizing the adaptive management for urban river ecosystems. Based on the health definition of restored urban rivers in North China, this study attempted to set up a system of alternative indicators on ecosystem health assessment, including water quality, water regime, aquatic organism, riparian environment, and physical m…
Generating conceptual landscape design via text-to-image generative AI model
This study explores the integration of text-to-image generative AI, particularly Stable Diffusion, in conjunction with ControlNet and LoRA models in conceptual landscape design. Traditional methods in landscape design are often time-consuming and limited by the designer’s individual creativity, also often lacking efficiency in the exploration of diverse design solutions. By leveraging AI tools, we demonstrate a workflow that efficiently generates…
Artificial Intelligence in urban design
Leveraging connected vehicle data for near-crash detection and analysis in urban environments
Urban traffic safety is a pressing concern in modern transportation systems, especially in rapidly expanding metropolitan areas where traffic congestion and diverse driving behavior increase the risk of traffic incidents. As situations in which vehicles come close to colliding while in motion (i.e., drivers took rapid evasive action to avoid an actual crash), near-crash events offer more sensitive insight into underlying roadway safety risks than…
Evaluating probe-based data for travel demand analysis
Comparing connected vehicle and mobile phone data for urban mobility analysis
Connected vehicle (CV) data are increasingly available and widely used in transportation engineering for traffic monitoring, safety analysis, and infrastructure planning. However, the representativeness of CV data in general urban mobility analysis remains underexplored, raising concerns about potential biases between observed mobility patterns in CV data and actual travel behaviors, particularly across different demographic and socioeconomic gro…
Computer Science (4 works) · Engineering (4 works) · Traffic Prediction and Management Techniques (3 works) · Transport engineering (3 works) · China (2 works) · Environmental Science (2 works) · Geography (2 works) · Transportation Planning and Optimization (2 works) · Urban Transport and Accessibility (2 works) · 3D Surveying and Cultural Heritage (1 work)