Directional Signage Location Optimization of Subway Station Based on Big Data

Directional Signage Location Optimization of Subway Station Based on Big Data

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...

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Bibliographic Details
Main Authors: Qun Tu, Zhenji Zhang, Qianqian Zhang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
PSO algorithm
signage location optimization
subway station
big data
Online Access:https://ieeexplore.ieee.org/document/8946635/
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spelling doaj-0038cf922a094c01a9f1206ee4b111d42021-03-30T03:05:09ZengIEEEIEEE Access2169-35362020-01-018123541236310.1109/ACCESS.2019.29633108946635Directional Signage Location Optimization of Subway Station Based on Big DataQun Tu0https://orcid.org/0000-0002-3135-8254Zhenji Zhang1https://orcid.org/0000-0002-2738-7749Qianqian Zhang2https://orcid.org/0000-0001-5513-4485School of Economics and Management, Beijing Jiaotong University, Beijing, ChinaSchool of Economics and Management, Beijing Jiaotong University, Beijing, ChinaSchool of Economics and Management, Beijing Jiaotong University, Beijing, ChinaThe 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%.https://ieeexplore.ieee.org/document/8946635/PSO algorithmsignage location optimizationsubway stationbig data
collection DOAJ
language English
format Article
sources DOAJ
author Qun Tu
Zhenji Zhang
Qianqian Zhang
spellingShingle Qun Tu
Zhenji Zhang
Qianqian Zhang
Directional Signage Location Optimization of Subway Station Based on Big Data
IEEE Access
PSO algorithm
signage location optimization
subway station
big data
author_facet Qun Tu
Zhenji Zhang
Qianqian Zhang
author_sort Qun Tu
title Directional Signage Location Optimization of Subway Station Based on Big Data
title_short Directional Signage Location Optimization of Subway Station Based on Big Data
title_full Directional Signage Location Optimization of Subway Station Based on Big Data
title_fullStr Directional Signage Location Optimization of Subway Station Based on Big Data
title_full_unstemmed Directional Signage Location Optimization of Subway Station Based on Big Data
title_sort directional signage location optimization of subway station based on big data
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2020-01-01
description 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%.
topic PSO algorithm
signage location optimization
subway station
big data
url https://ieeexplore.ieee.org/document/8946635/
work_keys_str_mv AT quntu directionalsignagelocationoptimizationofsubwaystationbasedonbigdata
AT zhenjizhang directionalsignagelocationoptimizationofsubwaystationbasedonbigdata
AT qianqianzhang directionalsignagelocationoptimizationofsubwaystationbasedonbigdata
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