SuBus Optimizes Depot Charger Sizing and Bus Charging Schedules with a Pattern-Based Mixed-Integer Model

We develop a pattern-based mixed-integer linear programming model to jointly size charging infrastructure and schedule daily charging for a large electric bus fleet. Applied to the public transport provider SuBus in Santiago, Chile, the approach reduces charger requirements by 36%, increases charger productivity by 52%, and reduces peak electrical load by 30% compared with manual planning.

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Publication Details

Journal
INFORMS Journal on Applied Analytics
Published
2026-10-14
DOI
https://doi.org/10.1287/inte.2025.0271
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.00
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article

SuBus Optimizes Depot Charger Sizing and Bus Charging Schedules with a Pattern-Based Mixed-Integer Model

Cristián E. Cortés, Jaime Miranda, Pablo Chaparro
INFORMS Journal on Applied Analytics
Electric Vehicles and Infrastructure
article

SuBus Optimizes Depot Charger Sizing and Bus Charging Schedules with a Pattern-Based Mixed-Integer Model

Cristián E. Cortés, Jaime Miranda, Pablo Chaparro
article en

Abstract

We develop a pattern-based mixed-integer linear programming model to jointly size charging infrastructure and schedule daily charging for a large electric bus fleet. Applied to the public transport provider SuBus in Santiago, Chile, the approach reduces charger requirements by 36%, increases charger productivity by 52%, and reduces peak electrical load by 30% compared with manual planning.

INFORMS Journal on Applied Analytics
University of Chile (CL)
Industry, innovation and infrastructure, Sustainable cities and communities, Affordable and clean energy
Openalex Percentile: Top 23%
Electric Vehicles and Infrastructure
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