Driver Behavior Modeling
Driver Behavior Modeling is a computational framework that characterizes and predicts individual or aggregate driving patterns within range estimation systems by integrating behavioral indicators such as acceleration habits, route preferences, and energy consumption tendencies to improve the accuracy of vehicle range predictions.
2.3K
Publications
108.5K
Citations
5.8K
Authors
1.4K
Institutions
Publications per year
2017–2026
1K
Parents
2.3K
Driving with knowledge from the physical world
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1.4K
University of Michigan
Ann Arbor, United States
32 h-index
127 publications
7K citations
Tongji University
Shanghai, China
28 h-index
108 publications
6K citations

Delft University of Technology
Delft, The Netherlands
28 h-index
172 publications
7K citations

Beijing Institute of Technology
Beijing, China
27 h-index
118 publications
6.3K citations
Virginia Tech
Blacksburg, United States
26 h-index
116 publications
5.4K citations
Massachusetts Institute of Technology
Cambridge, United States
26 h-index
78 publications
9.4K citations
Tsinghua University
Beijing, China
25 h-index
122 publications
5.8K citations
University of California, Berkeley
Berkeley, United States
25 h-index
92 publications
5.2K citations
1–8 of 1.4K
133 publications · 9.7K citations
58
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131 publications · 8.2K citations
54
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TRR · 206 publications · 8.2K citations
50
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93 publications · 5.4K citations
43
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56 publications · 5.1K citations
41
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