Traffic Interaction Models
Traffic Interaction Models is a computational framework that formalizes the dynamic, spatiotemporal relationships and behavioral dependencies among road users within traffic environments to enable the analysis, prediction, and simulation of multi-agent interactions in autonomous and human-driven driving scenarios.
207
Publications
9.5K
Citations
538
Authors
218
Institutions
Publications per year
2017–2026
116
Parents
207
Nan Li, Dave W. Oyler, Mengxuan Zhang et al. · IEEE Transactions on Control Systems Technology · 2017 · 287 citations
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218
Technical University of Munich
Munich, Germany
9 h-index
20 publications
628 citations
University of Michigan
Ann Arbor, United States
9 h-index
36 publications
3.5K citations
Tsinghua University
Beijing, China
8 h-index
31 publications
1.1K citations
Tongji University
Shanghai, China
7 h-index
16 publications
428 citations

Delft University of Technology
Delft, The Netherlands
5 h-index
9 publications
653 citations
University of Wisconsin–Madison
Madison, United States
5 h-index
11 publications
405 citations

University of Leeds
Leeds, United Kingdom
5 h-index
21 publications
1.7K citations

Linköping University
Linköping, Sweden
4 h-index
7 publications
241 citations
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11 publications · 866 citations
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7 publications · 530 citations
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Repository · 8 publications · 197 citations
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TRR · 8 publications · 379 citations
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7 publications · 172 citations
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