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Application of dual-sensitive decision mechanism based on queuing theory in airport taxi management

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Fang He

Physics and Society · Submitted 18 Aug 2024

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim This paper solves the above problems by establishing the taxi driver dual-sensitive decision model, the longitudinal taxi queuing model and the short-distance passenger re-return forced M/M/1 queuing model.

how it is stated · asserted 1.00 read the record →

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arXiv ID2408.11867 (version 1)
Pith IDRBS4EUSX, Pith's permanent record of this paper and its review
CitationFang He. "Application of dual-sensitive decision mechanism based on queuing theory in airport taxi management." arXiv:2408.11867 (2024). https://pith.science/paper/RBS4EUSX
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The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 3,687 input tokens.

What the abstract itself states, as probabilities: claims first 0.04 · states limitation 0.06 · human participants 0.14 · controlled comparison 0.04 · randomized assignment 0.01 · states quantitative result 0.04 · compares with prior results 0.05 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

With the rapid development of economy and global trade, flying has increasingly become the main way for people to travel, and taxi is the main transfer tool of the airport, especially in the airport with wide passenger sources and large passenger flow. However, at present, many large airports have the phenomenon of low taxi load rate, unbalanced income and long waiting time for passengers. Therefore, how can drivers make decisions to maximize their benefits, and how can management departments allocate resources and formulate management systems to improve ride efficiency and balance drivers' benefits have become urgent problems to be solved. This paper solves the above problems by establishing the taxi driver dual-sensitive decision model, the longitudinal taxi queuing model and the short-distance passenger re-return forced M/M/1 queuing model.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 With the rapid development of economy and global trade, flying has increasingly become the main way for people to travel, and taxi is the main transfer tool of the airport, especially in the airport with wide passenger sources and large passenger flow. background 1.00 0.04 0.02 asserted 1.00
s1 However, at present, many large airports have the phenomenon of low taxi load rate, unbalanced income and long waiting time for passengers. background 0.88 0.09 0.02 asserted 1.00
s2 Therefore, how can drivers make decisions to maximize their benefits, and how can management departments allocate resources and formulate management systems to improve ride efficiency and balance drivers' benefits have become urgent problems to be solved. background 0.54 0.04 0.05 asserted 0.98
s3 This paper solves the above problems by establishing the taxi driver dual-sensitive decision model, the longitudinal taxi queuing model and the short-distance passenger re-return forced M/M/1 queuing model. method 0.76 0.93 0.33 asserted 1.00

What kind of paper the classifier reports this is: theoretical result 0.62 · evidence from proof or derivation 0.79.

What was examined, and what was not

sources read
  • arXiv listing abstract v1
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
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  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

With the rapid development of economy and global trade, flying has increasingly become the main way for people to travel, and taxi is the main transfer tool of the airport, especially in the airport with wide passenger sources and large passenger flow. However, at present, many large airports have the phenomenon of low taxi load rate, unbalanced income and long waiting time for passengers. Therefore, how can drivers make decisions to maximize their benefits, and how can management departments allocate resources and formulate management systems to improve ride efficiency and balance drivers' benefits have become urgent problems to be solved. This paper solves the above problems by establishing the taxi driver dual-sensitive decision model, the longitudinal taxi queuing model and the short-distance passenger re-return forced M/M/1 queuing model.

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