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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Published in:IEEE access 2020, Vol.8, p.12354-12363
Main Authors: Tu, Qun, Zhang, Zhenji, Zhang, Qianqian
Format: Article
Language:English
Subjects:
Algorithms
Analytical models
Big Data
Mathematical model
Optimization
Particle swarm optimization
PSO algorithm
Public transportation
signage location optimization
Signs
Solid modeling
subway station
Subway stations
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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%.
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source IEEE Xplore Open Access Journals
subjects Algorithms
Analytical models
Big Data
Mathematical model
Optimization
Particle swarm optimization
PSO algorithm
Public transportation
signage location optimization
Signs
Solid modeling
subway station
Subway stations
title Directional Signage Location Optimization of Subway Station Based on Big Data
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