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Pedestrian Guiding Signs Optimization for Airport Terminal

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Listed:
  • Jianxin Lin
  • Rui Song
  • Jifeng Dai
  • Pengpeng Jiao

Abstract

The pedestrian guiding sign (PGS) is used to lead people within the transportation terminal to their directions efficiently and without boundaries. In this paper, we aim to optimize the guiding signs for people in the comprehensive transportation terminal with a mathematical model, which describes the pedestrian's reaction, judgment, and perception of the outline about the guiding signs, as well as pedestrian's moving status through self-organized characteristic behavior. Furthermore, the model also reflects the information intensity of the guiding signs within the pedestrian's visual field which is taken as the influence level score of PGS. In order to solve the model, cellular automation (CA) is employed to simulate the characteristics of the pedestrians such as crowd moving and sign selection.

Suggested Citation

  • Jianxin Lin & Rui Song & Jifeng Dai & Pengpeng Jiao, 2014. "Pedestrian Guiding Signs Optimization for Airport Terminal," Discrete Dynamics in Nature and Society, Hindawi, vol. 2014, pages 1-14, February.
    • Handle: RePEc:hin:jnddns:125910
    DOI: 10.1155/2014/125910
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    References listed on IDEAS

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    5. Solak, Senay & Clarke, John-Paul B. & Johnson, Ellis L., 2009. "Airport terminal capacity planning," Transportation Research Part B: Methodological, Elsevier, vol. 43(6), pages 659-676, July.
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    Cited by:

    1. Mahmut Bakır & Şahap Akan & Emircan Özdemir & Phi-Hung Nguyen & Jung-Fa Tsai & Hong-Anh Pham, 2022. "How to Achieve Passenger Satisfaction in the Airport? Findings from Regression Analysis and Necessary Condition Analysis Approaches through Online Airport Reviews," Sustainability, MDPI, vol. 14(4), pages 1-20, February.
    2. Minhua Shao & Congcong Xie & Lijun Sun & Lijuan Jiang, 2019. "Optimal Layout of Static Guidance Information in Comprehensive Transportation Hubs Based on Passenger Pathfinding Behavior," Sustainability, MDPI, vol. 11(13), pages 1-21, July.
    3. Thitinan Pholsook & Warit Wipulanusat & Vatanavongs Ratanavaraha, 2024. "A Hybrid MRA-BN-NN Approach for Analyzing Airport Service Based on User-Generated Contents," Sustainability, MDPI, vol. 16(3), pages 1-20, January.

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