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Optimization model for bus priority control considering carbon emissions.

Xinghua Hu1, Xinghui Chen1, Jianpu Guo2

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|March 23, 2023
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Summary
This summary is machine-generated.

Bus priority control (BPC) strategies like speed guidance, green extension (GE), and red truncation (RT) significantly reduce traffic carbon emissions and passenger delays. Optimal settings were identified for maximum environmental and efficiency benefits at intersections.

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Area of Science:

  • Traffic Engineering
  • Environmental Science
  • Optimization Theory

Background:

  • Traffic congestion leads to increased carbon emissions and passenger delays.
  • Bus priority control (BPC) is a strategy to improve bus transit efficiency.
  • Optimizing BPC strategies requires considering multiple traffic parameters.

Purpose of the Study:

  • To develop a bi-level optimization model for bus priority control (BPC).
  • To assess the impact of BPC strategies (speed guidance, green extension, red truncation) on traffic carbon emissions and passenger delay.
  • To determine optimal parameters for BPC strategies to maximize emission reductions and delay minimization.

Main Methods:

  • A bi-level optimization model was developed using a combination optimization method.
  • The Gauss-Seidel iterative algorithm was employed to solve the optimization model.
  • The model was applied to analyze various calculation cases for different BPC strategies.

Main Results:

  • Under speed guidance, optimal carbon emission and passenger delay reductions were 12.67% and 21.05% at 38 km/h.
  • With speed guidance and green extension (GE), optimal reductions reached 27.49% for emissions and 38.62% for delay at 39 km/h and 6s GE.
  • Using speed guidance and red truncation (RT), optimal reductions were 22.18% for emissions and 33.52% for delay at 29 km/h and 6s RT.

Conclusions:

  • BPC strategies, when optimized, effectively reduce traffic carbon emissions and passenger delays.
  • Specific optimal parameters exist for speed guidance, GE, and RT to achieve maximum traffic benefits.
  • The developed bi-level optimization model provides a framework for enhancing overall traffic efficiency and environmental sustainability at intersections.