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/
Description
Summary: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%.
ISSN:2169-3536

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