Transportation Network Data
Transportation Network Data is a spatial dataset representing the geometric and topological characteristics of transportation infrastructure, distinguished by its explicit encoding of connectivity, directionality, and attributes of linear elements such as roads, railways, and pathways that facilitate movement within a geographic space.
330
Publications
16.1K
Citations
1.1K
Authors
422
Institutions
Publications per year
2017–2026
159
Variants
Transportation Network Datasets
Parents
330
Large-Scale Transportation Network Congestion Evolution Prediction Using Deep Learning Theory
Xiaolei Ma, Haiyang Yu, Yunpeng Wang et al. · PLoS ONE · 2015 · 499 citations · Full text
Do transportation network companies decrease or increase congestion?
Gregory D. Erhardt, Sneha Roy, Drew Cooper et al. · Science Advances · 2019 · 462 citations · Full text
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422

Southeast University
Nanjing, China
12 h-index
38 publications
862 citations
Beijing Jiaotong University
Beijing, China
9 h-index
50 publications
1.7K citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
9 h-index
16 publications
349 citations
The University of Tokyo
Tokyo, Japan
8 h-index
24 publications
1.9K citations
University of Wisconsin–Madison
Madison, United States
8 h-index
28 publications
791 citations
University of Washington
Seattle, United States
7 h-index
20 publications
1.5K citations

Delft University of Technology
Delft, The Netherlands
7 h-index
10 publications
608 citations
Tongji University
Shanghai, China
6 h-index
18 publications
842 citations
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TRR · 24 publications · 718 citations
17
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14 publications · 1.7K citations
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12 publications · 524 citations
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TRPRO · 9 publications · 237 citations
9
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8 publications · 825 citations
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