Road Network Diffusion is a computational framework that models the spatial propagation of traffic dynamics, infrastructure changes, or mobility patterns over time across interconnected road segments within a geographic transportation network.
10
Publications
782
Citations
30
Authors
17
Institutions
Publications per year
2017–2026
2
Parents
Publications
10
Decoupled dynamic spatial-temporal graph neural network for traffic forecasting
Zezhi Shao, Zhao Zhang, Wei Wei et al. · Proceedings of the VLDB Endowment · 2022 · 332 citations · Full text
1–5 of 10
Authors
30
- DP
2
h-index
- YX
1
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- AK
1
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- XC
1
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- CS
1
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1–5 of 30
Institutions
17
Texas A&M University
College Station, United States
2 h-index
4 publications
88 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
2 publications
197 citations
The University of Texas at Austin
Austin, United States
1 h-index
1 publications
34 citations
University of Lisbon
Lisbon, Portugal
1 h-index
3 publications
183 citations
South Dakota State University
Brookings, United States
1 h-index
1 publications
10 citations
Instituto Superior Técnico
Lisbon, Portugal
1 h-index
2 publications
122 citations
Chinese Academy of Sciences
Beijing, China
1 h-index
3 publications
996 citations
The University of Tokyo
Tokyo, Japan
1 h-index
1 publications
21 citations
1–8 of 17
Venues
- Journal of Applied Probability
JAP · 2 publications · 197 citations
2
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- Landscape Ecology
1 publications · 61 citations
1
h-index
- Geographical Review
1 publications · 32 citations
1
h-index
- Scandinavian Journal of Statistics
1 publications · 78 citations
1
h-index
- Transportation Research Part C Emerging Technologies
1 publications · 10 citations
1
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1–5