Traffic Flow Visualization
Traffic Flow Visualization is a computational method within transportation network visualization that specifically represents the movement patterns, volumes, and dynamics of vehicles or pedestrians over time and space to reveal spatiotemporal traffic behaviors and congestion characteristics.
126
Publications
5.6K
Citations
382
Authors
167
Institutions
Publications per year
2017–2026
35
126
Doantam Phan, Ling Xiao, Ron Yeh et al. · 2006 · 221 citations
Xiaoxin Yin, William Yurcik, Michael Treaster et al. · 2004 · 195 citations
1–5 of 126
382
Hong Kong University of Science and Technology, Hong Kong SAR China
5 publications · 501 citations
5
h-index
3
h-index
3
h-index
Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany
3 publications · 79 citations
3
h-index
3
h-index
1–5 of 382
167

Zhejiang University
Hangzhou, China
6 h-index
15 publications
1K citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
5 h-index
10 publications
1K citations
Nanyang Technological University
Singapore, Singapore
3 h-index
6 publications
563 citations
Fraunhofer Institute for Intelligent Analysis and Information Systems
Sankt Augustin, Germany
3 h-index
7 publications
186 citations

Zhejiang University of Technology
Hangzhou, China
3 h-index
11 publications
286 citations

Peking University
Beijing, China
3 h-index
13 publications
1.5K citations

City, University of London
London, United Kingdom
3 h-index
7 publications
192 citations
University of Illinois Urbana-Champaign
Urbana, United States
3 h-index
13 publications
1.2K citations
1–8 of 167
TVCG · 8 publications · 595 citations
8
h-index
4 publications · 72 citations
4
h-index
4 publications · 434 citations
4
h-index
TRR · 4 publications · 65 citations
4
h-index
4 publications · 117 citations
4
h-index
1–5