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Bryan Reimer, Ph.D., is a Research Scientist in the MIT Center for Transportation and Logistics, a researcher in the AgeLab, and the Associate Director of The New England University Transportation Center at MIT. Bryan’s research seeks to develop theoretical and applied insight into driver behavior. His work aims to find solutions to the next generation of human factors challenges associated with driver attention management, distraction, automation and the use of advanced driver assistance systems to maximize mobility and safety. His work leverages laboratory experimentation, driving simulation, field testing, and naturalistic driving studies to develop a comprehensive understanding of visual, physiological, behavioral, and overall performance characteristics associated with how drivers respond to the increasing complexity of the modern operating environment. His research is multidisciplinary, drawing together traditional psychological methods with big data analytics in computer vision, deep learning, and predictive modeling. He is an author on over 250 technical contributions in transportation and related human factors areas. His work informs technology development, business strategy, and public policy.
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论文共 265 篇作者统计合作学者相似作者
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SSRN Electronic Journal (2023): 107236-107236
AutomotiveUIpp.112-122, (2023)
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Antoine Lesuffleur,Michael Linder, Casey Kang, David S. Hermann,Bryan Reimer,Thomas McWilliams,Bruce Mehler
SID Symposium Digest of Technical Papersno. 1 (2023): 349-352
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Traffic injury preventionno. 4 (2023): 356-361
Proceedings of the Human Factors and Ergonomics Society ... Annual Meetingno. 1 (2023): 1279-1284
Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting (2023)
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Proceedings of the Human Factors and Ergonomics Society Annual Meetingno. 1 (2023): 1168-1175
Proceedings of the Human Factors and Ergonomics Society Annual Meetingno. 1 (2022): 352-356
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