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A new solution framework for the limited-stop bus service design problem

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  • Soto, Guillermo
  • Larrain, Homero
  • Muñoz, Juan Carlos

Abstract

Limited-stop services are a key element to the successful operation of bus rapid transit corridors. In this study, we present a framework for addressing the limited-stop service design problem over a corridor, and formally introduce a family of subproblems involved in its solution. Using a bi-level optimization approach, we introduce a method of designing these services while considering bus capacity, transfers, and two behavioral models for passengers: deterministic and stochastic. The algorithm and its variants were tested on nine scenarios with up to 80 stops. Working with deterministic passenger assignment, our model solved the problem in a small fraction of the time required by a benchmark algorithm. We use this algorithm to show that neglecting transfers can lead to suboptimal solutions. We finally show that although it makes the problem much harder, working with stochastic assignment leads to more realistic and robust solutions.

Suggested Citation

  • Soto, Guillermo & Larrain, Homero & Muñoz, Juan Carlos, 2017. "A new solution framework for the limited-stop bus service design problem," Transportation Research Part B: Methodological, Elsevier, vol. 105(C), pages 67-85.
    • Handle: RePEc:eee:transb:v:105:y:2017:i:c:p:67-85
    DOI: 10.1016/j.trb.2017.08.026
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    References listed on IDEAS

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    Cited by:

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    3. Mahmood Mahmoodi Nesheli & Siva Srikukenthiran & Amer Shalaby, 2022. "An optimization model for planning limited-stop transit operations," Public Transport, Springer, vol. 14(1), pages 63-83, March.
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    5. Suman, Hemant & Larrain, Homero & Muñoz, Juan Carlos, 2021. "The impact of using a naïve approach in the limited-stop bus service design problem," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 45-61.
    6. Wu, Weitiao & Liu, Ronghui & Jin, Wenzhou & Ma, Changxi, 2019. "Simulation-based robust optimization of limited-stop bus service with vehicle overtaking and dynamics: A response surface methodology," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 130(C), pages 61-81.
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    8. Sunhyung Yoo & Jinwoo Brian Lee & Hoon Han, 2023. "A Reinforcement Learning approach for bus network design and frequency setting optimisation," Public Transport, Springer, vol. 15(2), pages 503-534, June.
    9. Vismara, Luca & Chew, Lock Yue & Saw, Vee-Liem, 2021. "Optimal assignment of buses to bus stops in a loop by reinforcement learning," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 583(C).

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