Multistep Traffic Forecasting
Multistep Traffic Forecasting is a traffic demand forecasting method that predicts traffic conditions over multiple future time steps in a single forward pass, distinguishing itself from single-step approaches by capturing long-term temporal dependencies and sequential patterns in traffic dynamics.
33
Publications
1.9K
Citations
136
Authors
53
Institutions
Publications per year
2017–2026
26
Parents
33
1–5 of 33
136
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53

Beijing University of Posts and Telecommunications
Beijing, China
3 h-index
14 publications
248 citations

Southeast University
Nanjing, China
3 h-index
7 publications
503 citations

Harokopio University of Athens
Athens, Greece
2 h-index
5 publications
78 citations

Southwest Jiaotong University
Chengdu, China
2 h-index
9 publications
159 citations
Shenzhen Technology University
Shenzhen, China
2 h-index
2 publications
74 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
3 publications
46 citations
Texas A&M University
College Station, United States
2 h-index
4 publications
476 citations
Wuhan University
Wuhan, China
1 h-index
5 publications
255 citations
1–8 of 53
3 publications · 66 citations
3
h-index
3 publications · 584 citations
3
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2 publications · 141 citations
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2 publications · 56 citations
2
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1 publications · 65 citations
1
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1–5