Research on methods for data acquisition and visualization of subway network passenger flow big data

Xue Song; Xikui Lv; Xinhua Liu

doi:10.1117/12.3050789

20 January 2025 Research on methods for data acquisition and visualization of subway network passenger flow big data

Xue Song, Xikui Lv, Xinhua Liu

Author Affiliations +

Proceedings Volume 13422, Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024); 134220B (2025) https://doi.org/10.1117/12.3050789
Event: Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024), 2024, Xi'an, China

Abstract

To explore the acquisition, analysis, and visualization applications of subway passenger flow data in the context of big data, and to uncover the patterns behind passenger travel data, this paper utilizes subway IC card swiping data as the data source to achieve the acquisition of subway network data, extraction of inbound and outbound passenger flows, modeling of subway rail network, and visualization of passenger flow big data. Through the analysis of subway passenger flow data, this paper reveals the urban transportation travel demand and residents' travel characteristics, analyzes the impact mechanism of land use types and land development intensity on passenger flows, and holds significant importance in improving the quality of urban public transportation services and optimizing subway operation strategies.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xue Song, Xikui Lv, and Xinhua Liu "Research on methods for data acquisition and visualization of subway network passenger flow big data", Proc. SPIE 13422, Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024), 134220B (20 January 2025); https://doi.org/10.1117/12.3050789

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