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Recurrent Neural Network Models of Human Mobility
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Recurrent Neural Network Models of Human Mobility. |
| 개인저자 | Lin, Ziheng. |
| 단체저자명 | University of California, Berkeley. Civil and Environmental Engineering. |
| 발행사항 | [S.l.]: University of California, Berkeley., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 78 p. |
| 기본자료 저록 | Dissertation Abstracts International 80-01B(E). Dissertation Abstract International |
| ISBN | 9780438323834 |
| 학위논문주기 | Thesis (Ph.D.)--University of California, Berkeley, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
Adviser: Alexei Pozdnukhov. |
| 요약 | Locational data generated by mobile devices present an opportunity to substantially simplify methodologies and reduce analysis latencies in short-term transportation planning applications. Short-term transportation planning, such as traffic flow |
| 일반주제명 | Engineering. Transportation. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
