A5026983202- Urban Transport and Accessibility
- Transportation Planning and Optimization
- Smart Parking Systems Research
- Vehicle emissions and performance
- Diverse Aspects of Tourism Research
- Transportation and Mobility Innovations
- Reinforcement Learning in Robotics
- Simulation Techniques and Applications
- Urban and Freight Transport Logistics
- Ultrasound Imaging and Elastography
- Autonomous Vehicle Technology and Safety
- Impact of Light on Environment and Health
- Human Mobility and Location-Based Analysis
- Traffic Prediction and Management Techniques
- Digital Marketing and Social Media
- Ultrasonics and Acoustic Wave Propagation
- Electric Vehicles and Infrastructure
- Photoacoustic and Ultrasonic Imaging
Southwest Jiaotong University
2014-2024
Chongqing Jiaotong University
2021-2022
To improve the forecasting accuracy of tourism demand through model and data sources, this paper takes social network as an entry point, collects by web crawler, then quantifies based on sentiment analysis BERT model. This uses structured variables such data, weather, holidays, etc. to build a Gradient Boosting Regression Trees. At last, take Huang Shan example, use actual statistics passenger terminal do empirical forecasting. Compared with existing introduce ablation study verify...
This study aims to guide the community life circle create a green, travel-supportive built environment. It quantitatively analyzes variations in car usage behavior based on level of environment and objectively reflects parking space utilization rate (PSUR). Ordinary least squares (OLS) gradient boosting decision tree (GBDT) models were developed describe impact this rate. An empirical analysis model was also conducted using multisource, heterogeneous data commercial facilities main urban...
In this study, gradient boosting decision tree (GBDT) and ordinary least squares (OLS) models were constructed to systematically ascertain the influencing factors electric vehicle (EV) use action laws from perspective of travelers. The intensity EVs was represented by miles traveled (eVMT); variables such as charging time, travel preference, annual income used describe characteristics. Seven variables, including distance nearest business district, road density, public transport service...
In this paper, a design concept of sparse array is applied to total focusing imaging technique. During the process, elements phased are partially selected according theory effective aperture, in order reduce amount captured data and shorten processing time TFM imaging. Simulated with Field II program experimental verification on two standard specimens performed, based three arrays which sparsely as 1/2, 1/4 1/8. The results compared full terms image quality computing efficiency, show that...