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Data-driven Approaches for Robust Signal Plans in Urban Transportation Networks

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자료유형E-Book
개인저자Amini, Zahra.
단체저자명University of California, Berkeley. Civil and Environmental Engineering.
서명/저자사항Data-driven Approaches for Robust Signal Plans in Urban Transportation Networks.
발행사항[S.l.] : University of California, Berkeley., 2018
발행사항Ann Arbor : ProQuest Dissertations & Theses, 2018
형태사항68 p.
소장본 주기School code: 0028.
ISBN9780438324756
일반주기 Source: Dissertation Abstracts International, Volume: 80-01(E), Section: A.
Adviser: Alexander Skabardonis.
요약In 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
요약Firstly, 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
요약An 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
요약In 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
일반주제명Transportation.
언어영어
기본자료 저록Dissertation Abstracts International80-01A(E).
Dissertation Abstract International
대출바로가기http://www.riss.kr/pdu/ddodLink.do?id=T14998268

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