2026-09-18T20:53:52Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1298952026-06-06T00:49:28Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Daniel Jackson.
Koutentakis, Dimitrios.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2021-02-19T20:44:14Z
2021-02-19T20:44:14Z
2020
2020
https://hdl.handle.net/1721.1/129895
1237420238
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, February, 2020
Cataloged from student-submitted PDF of thesis.
Includes bibliographical references (pages 81-84).
The goal of this thesis paper is to explore models that can predict and anticipate driver behaviors on the road and give probabilities on future actions of neighboring vehicles, while being lightweight enough to be formally verifiable. This thesis starts with looking into related work and doing a short literature review on previous work on driver models. We then talk about the available datasets used to perform such work, different models used (from classic regressions to neural networks) and finally present my approach and my results.
by Dimitrios Koutentakis.
M.Eng.
M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science
84 pages
eng
Massachusetts Institute of Technology
MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Modeling human driving behavior
Thesis
application/pdf
2021-02-19T20:43:44Z
Publication
Master
EECS
unknown
unknown
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