A5069302982- Traffic Prediction and Management Techniques
- Transportation Planning and Optimization
- Human Mobility and Location-Based Analysis
- Traffic control and management
- Data Visualization and Analytics
- Traffic and Road Safety
- Internet Traffic Analysis and Secure E-voting
- Privacy-Preserving Technologies in Data
- Advanced Graph Neural Networks
- Vehicle emissions and performance
Georgia State University
2023
Qingdao University of Science and Technology
2023
Qingdao University
2022
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Graph de-anonymization is a technique used to reveal connections between entities in anonymized graphs, which crucial detecting malicious activities, network analysis, social and more. Despite its paramount importance, conventional methods often grapple with inefficiencies challenges tied obtaining accurate query graph data. This paper introduces neural-based inexact de-anonymization, comprises an embedding phase, comparison matching procedure. The phase uses convolutional generate vectors...
Due to the growing population and substantially increased motor vehicle usage, traffic congestion insufficient allocation of transportation hardware resources have become a very serious problem. To solve this problem, work proposes deep model based on fusion dilated convolution graph network (DGCN) predict lane occupancy rate. Among them, layer is used extract spatial correlation data. The temporal correlations And adds flow speed as two implicit factors into model, which are fused with...