Abstract

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%.

Highlights

  • Signage system is essential for the guidance of the route, especially for people gathering space, such as stadiums, transit hub, shopping malls and so on

  • CALCULATION EXAMPLE DESIGN 1) DETERMINE ALTERNATIVE LOCATIONS, TARGET LOCATIONS AND PASSENGER FLOW This paper mainly studies the selection of the signage positions of Dongzhimen subway station in Beijing

  • Each element in the coding system takes a value in the open interval (0,1), Step 0: Initialize parameters, such as population number Ns and maximum number of iterations ite_max◦ Step 1: Initialize particle speed and position according to different variants of particle swarm optimization (PSO) algorithm, and calculate the fitness

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Summary

INTRODUCTION

Signage system is essential for the guidance of the route, especially for people gathering space, such as stadiums, transit hub, shopping malls and so on. It means to select the most suitable and optimal points from multiple alternative locations, so that the signages provide correct and sufficient information for passengers to help them finish way-finding process This problem can be solved by establishing an optimal mathematical model of the location of signages. CALCULATION EXAMPLE DESIGN 1) DETERMINE ALTERNATIVE LOCATIONS, TARGET LOCATIONS AND PASSENGER FLOW This paper mainly studies the selection of the signage positions of Dongzhimen subway station in Beijing. The intersection and decision-making point of passenger flow line in the transfer area of the underground second floor of Dongzhimen metro station are selected as the alternative location for the distribution of guide signs j(j = 1, 2, .

CODING SYSTEM
Findings
CONCLUSION
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