A5101894163- Transportation Planning and Optimization
- Traffic Prediction and Management Techniques
- Traffic control and management
- Vehicle Routing Optimization Methods
- Urban and Freight Transport Logistics
- Transportation and Mobility Innovations
- Railway Systems and Energy Efficiency
- Human Mobility and Location-Based Analysis
- Multi-Criteria Decision Making
- Optimization and Mathematical Programming
- Complex Network Analysis Techniques
- Quality Function Deployment in Product Design
- Aviation Industry Analysis and Trends
- Supply Chain and Inventory Management
- Railway Engineering and Dynamics
- Advanced Malware Detection Techniques
- Network Security and Intrusion Detection
- Security and Verification in Computing
- Long-Term Effects of COVID-19
- Data Visualization and Analytics
- COVID-19 and Mental Health
- Optimism, Hope, and Well-being
- Maritime Ports and Logistics
- Icing and De-icing Technologies
- Posttraumatic Stress Disorder Research
First People's Hospital of Kunshan
2025
Jiangsu University
2025
Villanova University
2024
Arizona State University
2018-2023
Chongqing University
2022
Shandong University of Technology
2022
Sichuan University
2022
Second Military Medical University
2016-2022
University of Maryland, College Park
2022
Jiangxi University of Finance and Economics
2021
Although the macroscopic volume-delay function (VDF) has been widely used in static traffic assignment for transportation planning, planning community long recognized its deficiencies as a capturing flow dynamics and queue evolution process. In existing literature, many queueing-based simulation-based dynamic (DTA) models involving various parameters have proposed to capture system on different spatial scales; however, how calibrate these DTA could still be challenging task own right,...
A sharp increasing number of online shopping parcels and scattered customers lead each express company to invest a lot logistics resources, but its utilization rate is low. Each faces the challenge improving customer satisfaction market competitiveness while ensuring total costs are under control. This paper develops novel joint delivery (JD) model reduce operation carbon emission via strengthening horizontal cooperation resource sharing among companies. Furthermore, it designs multi-depot...
Cardiovascular disease is one of the most dangerous conditions, posing a significant threat to daily health. Electrocardiography (ECG) crucial for heart health monitoring. It plays pivotal role in early detection, function assessment, and guiding treatments. Thus, refining ECG diagnostic methods vital timely accurate diagnosis. Recently, deep learning has significantly advanced signal classification recognition. However, these struggle with new or Out-of-Distribution (OOD) diseases. The...
Air and high-speed rail (AH) integration services are gaining ground with the development of railway airline industries. A well-designed feeder train timetable good synchronization is great significance in an AH service, because it can improve connectivity at transfer nodes offer more opportunities for intermodal passengers to travel. In this study, we propose a multi-objective model problem service synchronization. The aims optimization maximize number synchronizations coverage synchronized...
Computational graphs (CGs) have been widely utilized in numerical analysis and deep learning to represent directed forward networks of data flows between operations. This paper aims develop an explainable framework that can fully integrate three major steps decision support: Synthesis diverse traffic data, multilayered demand estimation, marginal effect analyses for transport policies. Following the big data-driven transportation computational graph (BTCG) framework, which is emerging neural...
Abstract Traditional railway line planning approaches are used to determine the best train lines during specified periods (e.g., 1 day, h, or several hours). However, mismatches occur relative spatiotemporal changes in travel demands over longer time week). To more effectively match rail supply with passenger demand, a weekly (WLP) model considering both peak and nonpeak demand an entire week all of each day is proposed. This maximizes defined supply–demand matching utility minimizes...
Railway seat inventory control aims to maximize ticket sale profits by determining a selling policy on the reservation horizon. This paper introduces dynamic bid price approach in railway problem. Multi-dimensional demand is taken into consideration modeling problem, which passenger transfer our main focus. A new approximate designed this Numerical examples are presented evaluate efficiency of approach. Simulation experiments conducted verify impact under different scenarios.
Catering Service of High-Speed Railway (CSHR) starts at suppliers, includes distribution centers and service stations in cities, ends cabinets high-speed trains. In Distribution System Design (DSD) Problem for CSHR, it is critical to evaluate the alternatives stations, which termed as Station Evaluation High-speed (SSEP-CSHR). As a preparation work DSD, SSEP-CSHR needs be solved without detailed information being accompanied with uncertainty. Fuzzy Quality Function Deployment (F-QFD) has...
In this paper, we propose the novel text mining algorithm based on deep neural network. knowledge representation, capable of embodying information content characteristic and external not only has semantic meaning it is interlinked, characteristics constitute association reveals base. This article through to contents a appearance general different combination co-occurrence analysis, explore analysis method spatial distribution, time distribution application internal mapping mining. terms...