Optimizing the release of passenger flow guidance information in urban rail transit network via agent-based simulation

DOI10.1016/j.apm.2019.02.003zbMath1481.90124OpenAlexW2922263588WikidataQ128262419 ScholiaQ128262419MaRDI QIDQ1984881

Yunchao Qu, Jianjun Wu, Huijun Sun, Zhiyuan Liu, Xin Yang, Haodong Yin

Publication date: 7 April 2020

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2019.02.003

zbMATH Keywords

genetic algorithmagent-based simulationpassenger flow guidancerail transit network

Mathematics Subject Classification ID

Deterministic scheduling theory in operations research (90B35) Traffic problems in operations research (90B20)

Related Items (1)

Robust metro train scheduling integrated with skip-stop pattern and passenger flow control strategy under uncertain passenger demands

Cites Work

• Equilibrium traffic assignment for large scale transit networks
• Energy-efficient timetable and speed profile optimization with multi-phase speed limits: theoretical analysis and application
• System-Optimal Routing of Traffic Flows with User Constraints in Networks with Congestion
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