5 papers
Graph Neural Networks for Travel Distance Estimation and Route Recommendation Under Probabilistic Hazards
Tong Liu, Hadi Meidani
Estimating the shortest travel time and providing route recommendation between different locations in a city or region can quantitatively measure the conditions of the transportati…
Multi-Class Traffic Assignment using Multi-View Heterogeneous Graph Attention Networks
Tong Liu, Hadi Meidani
Solving traffic assignment problem for large networks is computationally challenging when conventional optimization-based methods are used. In our research, we develop an innovativ…
Supply Chain Network Extraction and Entity Classification Leveraging Large Language Models
Tong Liu, Hadi Meidani
Supply chain networks are critical to the operational efficiency of industries, yet their increasing complexity presents significant challenges in mapping relationships and identif…
End-to-End Heterogeneous Graph Neural Networks for Traffic Assignment
Tong Liu, Hadi Meidani
The traffic assignment problem is one of the significant components of traffic flow analysis for which various solution approaches have been proposed. However, deploying these appr…
Heterogeneous Graph Sequence Neural Networks for Dynamic Traffic Assignment
Tong Liu, Hadi Meidani
Traffic assignment and traffic flow prediction provide critical insights for urban planning, traffic management, and the development of intelligent transportation systems. An effic…