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MILP-Based Pareto Optimization of Electric Bus Scheduling and Charging Management

Effective scheduling and charging management of electric buses is essential for minimizing investment and operational costs while improving transit efficiency. The paper presents an optimization framework which provides a 3D Pareto frontier of fleet size, deadhead distance, and charging cost, while...

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Autori principali: Zvonimir Dabčević, Branimir Škugor, Joško Deur
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2026-02-01
Serie:Energies
Soggetti:
city buses
battery electric vehicles
bus scheduling
charging management
Pareto optimization
Mixed-Integer Linear Programming (MILP)
Accesso online:https://www.mdpi.com/1996-1073/19/3/867
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