Integrating Lagrangian and Eulerian observations for passenger flow state estimation in an urban rail transit network: A space-time-state hyper network-based assignment approach-Reference-Cited by-同舟云学术

Integrating Lagrangian and Eulerian observations for passenger flow state estimation in an urban rail transit network: A space-time-state hyper network-based assignment approach

Published:2019-03 Issue: Volume:121 Page:135-167
ISSN:0191-2615
Container-title:Transportation Research Part B: Methodological
language:en
Short-container-title:Transportation Research Part B: Methodological

Author:

Shang Pan,Li Ruimin,Guo Jifu,Xian Kai^ORCID,Zhou Xuesong

Funder

China Scholarship Council

Tsinghua University

National Science Foundation

NSF

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Transportation,Civil and Structural Engineering

Reference66 articles.

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3. Exogenous priority rules for the capacitated passenger assignment problem;Binder;Transp. Res. Part B: Methodol.,2017

4. The Railway Rapid Transit frequency setting problem with speed-dependent operation costs;Canca;Transp. Res. Part B: Methodol.,2018

5. Setting lines frequency and capacity in dense railway rapid transit networks with simultaneous passenger assignment;Canca;Transp. Res. Part B: Methodol.,2016

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