자료유형 | E-Book |
---|---|
개인저자 | Feygin, Sidney. |
단체저자명 | University of California, Berkeley. Civil and Environmental Engineering. |
서명/저자사항 | Inferring Structural Models of Travel Behavior: An Inverse Reinforcement Learning Approach. |
발행사항 | [S.l.] : University of California, Berkeley., 2018 |
발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
형태사항 | 135 p. |
소장본 주기 | School code: 0028. |
ISBN | 9780438325180 |
일반주기 |
Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
Adviser: Alexey Pozdnukhov. |
요약 | Large volumes of digital human trajectories at high spatiotemporal resolution have become increasingly available to researchers and public entities. Derived from anonymized cellular records and social network postings, fine-grained mobility trac |
요약 | However, state-of-the-art machine-learning and discrete-choice frameworks do not consider the dynamics of daily mobility decisions at the individual level. Existing methods also do not take into account strategic, interdependent interactions bet |
요약 | Therefore, in order to take better advantage of future and emerging technologies as tools to forge cooperative and sustainable relationships between citizens, governments, and the built environment, this thesis develops a framework for data-driv |
일반주제명 | Civil engineering. Artificial intelligence. |
언어 | 영어 |
기본자료 저록 | Dissertation Abstracts International80-01B(E). Dissertation Abstract International |
대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14998406 |