Driving Behavior Modeling is a computational framework that characterizes and predicts individual or collective patterns of vehicle operation and decision-making in traffic environments through the analysis of telemetry, contextual, and behavioral data.
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Driving with knowledge from the physical world
Modeling and Prediction of Human Behavior
Alex Pentland, Andrew Liu · Neural Computation · 1999 · 524 citations
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University of Michigan
Ann Arbor, United States
34 h-index
153 publications
9K citations
Delft University of Technology
Delft, The Netherlands
33 h-index
146 publications
7.8K citations
Tongji University
Shanghai, China
32 h-index
159 publications
8.5K citations
Beijing Institute of Technology
Beijing, China
28 h-index
123 publications
5.1K citations
Tsinghua University
Beijing, China
26 h-index
129 publications
5.3K citations
Nagoya University
Nagoya, Japan
23 h-index
174 publications
6.3K citations
University of California, Berkeley
Berkeley, United States
22 h-index
47 publications
2.7K citations
Carnegie Mellon University
Pittsburgh, United States
21 h-index
76 publications
3.3K citations
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Venues
- IEEE Transactions on Intelligent Transportation Systems
91 publications · 5.8K citations
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- Accident Analysis & Prevention
102 publications · 6.2K citations
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- Transportation Research Part C Emerging Technologies
61 publications · 5.9K citations
42
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- Transportation Research Record Journal of the Transportation Research Board
TRR · 87 publications · 5.5K citations
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- Transportation Research Part F Traffic Psychology and Behaviour
61 publications · 3.7K citations
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