A5063549890- Traffic and Road Safety
- Traffic control and management
- Traffic Prediction and Management Techniques
- Transportation Planning and Optimization
- Urban Transport and Accessibility
- Autonomous Vehicle Technology and Safety
- Vehicle emissions and performance
- Safety Warnings and Signage
- Injury Epidemiology and Prevention
- Transportation and Mobility Innovations
- Human Mobility and Location-Based Analysis
- Market Dynamics and Volatility
- Economic and Environmental Valuation
- Infrastructure Maintenance and Monitoring
- Transportation Safety and Impact Analysis
- Evaluation Methods in Various Fields
- Monetary Policy and Economic Impact
- Automotive and Human Injury Biomechanics
- Risk and Safety Analysis
- Regional Economic and Spatial Analysis
- Urban and Freight Transport Logistics
- Human-Automation Interaction and Safety
- Image Enhancement Techniques
- Spatial and Panel Data Analysis
- Energy, Environment, and Transportation Policies
Southeast University
2016-2025
Southeast University
2012-2025
Ministry of Transport
2019-2024
Zhejiang University
2024
The Synergetic Innovation Center for Advanced Materials
2014-2024
Central South University
2024
China Three Gorges Corporation (China)
2024
Wuhan University
2023
Jiangsu Provincial Urban Planning and Design Institute
2022
Capital Medical University
2022
A procedure was developed for using Surrogate Safety Assessment Model (SSAM) and VISSIM safety assessment at freeway merge areas. The simulated conflicts generated by the simulation models identified SSAM approach to those measured in field traditional traffic techniques. Of particular interest identify if consistency between field‐measured could be improved calibrating adjusting threshold values SSAM. two‐stage proposed calibrate validate models. transferability of calibrated also tested....
This paper aimed at evaluating the application of genetic programming (GP) model for real-time crash prediction on freeways. Traffic, weather, and data used in this were obtained from I-880N freeway California, United States. The random forest (RF) technique was conducted to select variables that affect risk under uncongested congested traffic conditions. GP developed each state based candidate selected by RF technique. flow characteristics contribute found be quite different between applied...
The primary objective of this study was to compare the risky behaviors e-bike, e-scooter, and bicycle riders as they were crossing signalized intersections.Pearson's chi-square test used identify whether there significant differences in among riders. Binary logit models developed evaluate how various variables affected 2-wheeled vehicle at intersections. Field data collection conducted 13 intersections 2 cities (Nanjing Kunming) China.Three different types identified, including stop beyond...