Highlights Proposing a new adding-runs strategy for peak-hour bus services to alleviate crowding effects. Developing a bi-level programming model for the optimal adding-runs strategy. User heterogeneity is considered in model formulation. Examining the effectiveness of the proposed adding-runs strategy numerically.
Abstract This paper proposes an adding-runs strategy to alleviate in-vehicle crowding for peak-hour bus services. Passengers’ departure time choices under user equilibrium and system optimum conditions are investigated with and without adding-runs strategy. A bi-level programming model is developed to determine the optimal adding-runs strategy. An artificial bee colony algorithm is adopted to solve the proposed bi-level problem. Numerical examples show that the adding-runs strategy is effective in alleviating crowding effects and reducing schedule delay in peak-hour bus services. The total system cost can be reduced by more than 8% with the optimal adding-runs strategy.
Analysis of adding-runs strategy for peak-hour regular bus services
2020-09-21
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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