September 10, 2025Applied SciencesOpen Access

A Sequential Optimization Approach for the Vehicle and Crew Scheduling Problem of a Fleet of Electric Buses

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The introduction of a sequential optimization approach improves scheduling for electric buses.
Experiments show successful applications of the Mixed-Integer Quadratic Programming model for vehicle scheduling.
This method generates efficient service blocks for the Crew Scheduling Problem using Mixed-Integer Linear Programming.
Adopting this approach can significantly enhance operational efficiency for transit agencies transitioning to electric buses.

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This approach demonstrates efficient scheduling for electric buses, optimizing vehicle and crew allocations using advanced programming models.

Triommati et al. (2025) studied this question.

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This approach demonstrates efficient scheduling for electric buses, optimizing vehicle and crew allocations using advanced programming models.