A5100418467- Maritime Ports and Logistics
- Traffic Prediction and Management Techniques
- Transportation Planning and Optimization
- Urban and Freight Transport Logistics
- Educational Technology and Assessment
- Educational Technology and Pedagogy
- Remote Sensing and LiDAR Applications
- Data Management and Algorithms
- Evaluation Methods in Various Fields
- Engineering Education and Curriculum Development
- Vehicle Routing Optimization Methods
- Advanced Decision-Making Techniques
- Transport and Economic Policies
- E-commerce and Technology Innovations
- Evaluation and Optimization Models
- Strategic Planning and Analysis
- Image Processing and 3D Reconstruction
- Maritime Navigation and Safety
- Human Mobility and Location-Based Analysis
- Data Quality and Management
- Bayesian Modeling and Causal Inference
- Forest ecology and management
- Advanced Database Systems and Queries
Wuhan Business University
2017-2023
Wuhan University of Technology
2018
Wuhan University
2016
The prediction of travel times is challenging because the sparseness real-time traffic data and intrinsic uncertainty on congested urban road networks. We propose a new gradient–boosted regression tree method to accurately predict times. This model accounts for spatiotemporal correlations extracted from historical adjacent target links. can deliver high accuracy by combining simple trees with poor performance. It corrects error found in existing models improved accuracy. Our was verified...
Promotion of the shipping informatization for Yangtze River increased amount data sources River. Quality assessment is a basic issue quality management. Considering knowledge professional field and users' needs would make results have better availability. This article constructed system with respect to actual situation River, put forward model The combined subjective objective information determine factor weights assessment, simultaneously considered judgment in process. Through verification...
Analysis of maritime accident data is important for improving safety management. Clustering the favoured method mining marine data. However, traditional one-way clustering methods are limited by their focus on global patterns, which does not account contingent characteristics accidents. In this study, biclustering algorithms (BAs) typically used gene expressions introduced analysis inland water traffic BAs good discovering local patterns (LPs), represent similarities between partial...
The purpose of this study is to investigate whether spatial-temporal dependence models can improve the prediction performance short-term freight volume forecasts in inland ports. To evaluate effectiveness forecasting, basic time series forecasting for use our comparison were first built based on an autoregression integrated moving average model (ARIMA), a back-propagation neural network (BPNN), and support vector regression (SVR). Subsequently, combining gradient boosting decision tree...
China Railway Express (CR Express) plays an important role in the international trade logistics system. CR has always adopted a point-to-point direct transportation (DT) mode since its first opening 2011, which contributed to rapid development of networks early stage. However, with reducing subsidies, transit (TT) appears performs better respect improvement efficiency networks, and high-quality sustainable development. Therefore, mixed modes both DT TT will be inevitable future. This paper...