EconPapers    
Economics at your fingertips  
 

Prediction and Analysis of Subway Passenger Flow Based on AnyLogic in the Context of Big Data

Yingying Mei ()
Additional contact information
Yingying Mei: Anhui Sanlian University

A chapter in Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), 2024, pp 479-488 from Springer

Abstract: Abstract The model uses computer pedestrian simulation software as the platform and Hefei Tianzhu Road Metro Station as the research object. Using the pedestrian library in Anylogic, the passenger flow distribution of a subway station in a certain place is simulated, and the service level of the platform, the number of ticket gates and self-service ticket vending machines, and the layout of stairs are estimated. It can effectively provide technical support for urban rail transit planning.

Keywords: Anylogic; Model; Pedestrian library (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-256-9_49

Ordering information: This item can be ordered from
http://www.springer.com/9789464632569

DOI: 10.2991/978-94-6463-256-9_49

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-05-30
Handle: RePEc:spr:advbcp:978-94-6463-256-9_49