Highlights Formulated continuous approximation model for optimizing AB-type skip-stop service under heterogeneous demand. Developed an efficient algorithm that solves the model to near-optimality. Proposed a recipe for fitting the continuous approximation solution to real settings. AB-type service outperforms all-stop service under various operating conditions.

    Abstract Transit vehicles operating under skip-stop service visit only a subset of the stops residing along a corridor. It is a strategy commonly used to increase vehicle speeds and reduce patron travel times. The present paper develops a continuous approximation model to optimally design a select form of skip-stop service, termed AB-type service. The model accounts for demand patterns that slowly vary over space. An efficient heuristic is developed to obtain solutions. These are shown to be near-optimal for a variety of numerical examples. Results also indicate that optimal AB-type designs outperform optimized all-stop service in a variety of cases. The AB-type service is found to be especially competitive when travel demands are high, trip origins are unevenly distributed along a corridor, and patrons have relatively high values of time. In these cases, AB-type service is found to reduce system costs by as much as 8%.


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    Title :

    Planning skip-stop transit service under heterogeneous demands


    Contributors:
    Mei, Yu (author) / Gu, Weihua (author) / Cassidy, Michael (author) / Fan, Wenbo (author)


    Publication date :

    2021-06-17


    Size :

    21 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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