Probabilistic Traffic Forecasting
Probabilistic Traffic Forecasting is a traffic demand forecasting method that quantifies uncertainty in future traffic conditions by providing probabilistic distributions rather than deterministic point predictions.
120
Publications
6.2K
Citations
392
Authors
189
Institutions
Publications per year
2017–2026
48
Parents
120
1–5 of 120
392
2
h-index
2
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Institut national de recherche en sciences et technologies du numérique, France
2 publications · 44 citations
2
h-index
1–5 of 392
189

University of Leeds
Leeds, United Kingdom
4 h-index
10 publications
1K citations
University of Washington
Seattle, United States
4 h-index
9 publications
296 citations

Shanghai Jiao Tong University
Shanghai, China
4 h-index
10 publications
393 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
4 h-index
8 publications
262 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
3 h-index
5 publications
178 citations
University of California, Berkeley
Berkeley, United States
3 h-index
8 publications
1K citations
Beijing Jiaotong University
Beijing, China
3 h-index
4 publications
87 citations

Beihang University
Beijing, China
3 h-index
10 publications
856 citations
1–8 of 189
11 publications · 817 citations
11
h-index
11 publications · 1K citations
11
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TRR · 4 publications · 123 citations
4
h-index
3 publications · 398 citations
3
h-index
2 publications · 113 citations
2
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1–5