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Bus queue time estimation model for a curbside bus stop considering the blocking effect.

Tian Luo1, Xiaobin Liu2, Hui Jin1

  • 1School of Automotive Engineering, Lanzhou Institute of Technology, Lanzhou, 730050, China.

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Summary
This summary is machine-generated.

Estimating bus queue time is crucial for system performance. This study quantifies queue delays caused by downstream bus dwelling times using probability distributions.

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Area of Science:

  • Transportation Engineering
  • Operations Research
  • Queueing Theory

Background:

  • Bus queue time estimation is vital for assessing bus system operations and reliability.
  • Bus stops can experience queueing due to arriving and served buses, influenced by overtaking rules.
  • Bus dwelling time at downstream berths significantly impacts bus stop capacity.

Purpose of the Study:

  • To estimate bus queue time specifically considering the blocking effect caused by downstream bus dwelling.
  • To model queue delay as a function of bus dwell time.
  • To quantify the negative influence of downstream berth blocking on queue delay.

Main Methods:

  • Modeling queue delay as a function of dwell time.
  • Fitting dwell time data using normal and lognormal distributions.
  • Evaluating queue time using bus dwell time and joint probability density functions.

Main Results:

  • The study quantifies the relationship between probability distributions and queue time under blocking effects.
  • The developed estimation method effectively reflects the influence of downstream berth blocking.
  • Fitting results support the theoretical analyses of queue delay.

Conclusions:

  • Downstream berth blocking significantly impacts bus queue times.
  • The proposed method provides a quantitative approach to evaluate these impacts.
  • Accurate queue time estimation is essential for optimizing bus system performance and reliability.