DOAJ Open Access 2020

Directional Signage Location Optimization of Subway Station Based on Big Data

Qun Tu Zhenji Zhang Qianqian Zhang

Abstrak

The imperfection of the guide signs in the subway will lead to many difficulties for passengers, which directly affects the operation efficiency of subway stations. In this paper, we use big data to analyze the problem of signages in Beijing subway, and propose the optimization model of signages in subway stations based on particle swarm optimization algorithm. The experimental results of Dongzhimen subway station in Beijing show that the model has strong robustness in optimization, and the global best position can be found 100%.

Topik & Kata Kunci

Electrical engineering. Electronics. Nuclear engineering

Penulis (3)

Qun Tu

Zhenji Zhang

Qianqian Zhang

Format Sitasi

APA MLA BibTeX

Tu, Q., Zhang, Z., Zhang, Q. (2020). Directional Signage Location Optimization of Subway Station Based on Big Data. https://doi.org/10.1109/ACCESS.2019.2963310

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Informasi Jurnal

Tahun Terbit: 2020
Sumber Database: DOAJ
DOI: 10.1109/ACCESS.2019.2963310
Akses: Open Access ✓