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Data-driven Approaches for Robust Signal Plans in Urban Transportation Networks
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Data-driven Approaches for Robust Signal Plans in Urban Transportation Networks. |
| 개인저자 | Amini, Zahra. |
| 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 | 68 p. |
| 기본자료 저록 | Dissertation Abstracts International 80-01A(E). Dissertation Abstract International |
| ISBN | 9780438324756 |
| 학위논문주기 | Thesis (Ph.D.)--University of California, Berkeley, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 80-01(E), Section: A.
Adviser: Alexander Skabardonis. |
| 요약 | In urban transportation networks with signalized intersections a robust pre-timed signal plan is a practical alternative to adaptive control strategies, since it has less complexity and an easier implementation process. Recent advances in techno |
| 요약 | Firstly, I discuss the development and testing of two algorithms for checking the quality of traffic data and for estimating performance measures at intersections. The first of these algorithms estimates the systematic error of the detector data |
| 요약 | An offset optimization algorithm was developed to adjust signal offsets so as to improve the delay in the system. The performance of three real-world networks using the offsets obtained by the algorithm and those obtained from the widely used Sy |
| 요약 | In conclusion, these four algorithms extract useful information from HR data about traffic at signalized intersections. Moreover, the algorithms assist in designing robust timing plans for satisfying demand fluctuations at signalized intersectio |
| 일반주제명 | Transportation. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
