Traffic Volume Forecasting
Traffic Volume Forecasting is a predictive modeling method within transportation planning that estimates future vehicular flow on road networks by analyzing historical traffic data, land use patterns, and travel behavior, distinguished from broader traffic demand forecasting by its focus on aggregate volume rather than mode choice, trip distribution, or assignment.
347
Publications
18.5K
Citations
981
Authors
372
Institutions
Publications per year
2017–2026
151
347
1–5 of 347
981
5
h-index
4
h-index
4
h-index
4
h-index
University at Buffalo, State University of New York, United States
4 publications · 201 citations
4
h-index
1–5 of 981
372
Beijing Jiaotong University
Beijing, China
15 h-index
50 publications
2.6K citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
10 h-index
27 publications
1.4K citations

Southeast University
Nanjing, China
9 h-index
23 publications
759 citations
Texas A&M University
College Station, United States
9 h-index
18 publications
4K citations
University of Washington
Seattle, United States
6 h-index
10 publications
464 citations
Tsinghua University
Beijing, China
5 h-index
14 publications
493 citations

Chinese Academy of Sciences
Beijing, China
5 h-index
5 publications
143 citations
University of Alabama in Huntsville
Huntsville, United States
5 h-index
7 publications
113 citations
1–8 of 372
TRR · 37 publications · 3.4K citations
22
h-index
11 publications · 1.8K citations
11
h-index
10 publications · 664 citations
10
h-index
8 publications · 195 citations
8
h-index
8 publications · 534 citations
8
h-index
1–5