Optimized Support System for Mobility in the Logistics Processes of Routes with Electric Trucks

Patrícia Gomes Dallepiane (), Camilo Sepulveda Rangel, Leandro Mallmann, Felipe Gomes Dallepiane () and Luciane Silva Neves
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Patrícia Gomes Dallepiane: Department of Electrical Engineering, Federal University of Santa Maria, Santa Maria 97105-900, Brazil
Camilo Sepulveda Rangel: Department of Electrical Engineering, Federal University of Santa Maria, Santa Maria 97105-900, Brazil
Leandro Mallmann: Department of Electrical Engineering, Federal University of Santa Maria, Santa Maria 97105-900, Brazil
Felipe Gomes Dallepiane: Center for Teaching and Research in Dental Implants, Federal University of Santa Catarina, Florianópolis 88040-900, Brazil
Luciane Silva Neves: Department of Electrical Engineering, Federal University of Santa Maria, Santa Maria 97105-900, Brazil

Sustainability, 2025, vol. 17, issue 10, 1-24

Abstract: The implementation of innovative strategies in transportation is fundamental for the transition to sustainable mobility in road freight transport. Electric trucks provide a sustainable solution, significantly contributing to the reduction in pollutant emissions, lower operational costs, and the ability to recharge from renewable energy sources. In this context, this article proposes a methodology to support sustainable mobility optimization considering the variables related to the logistical problems of electric vehicles (recharging time and autonomy), which allows for routes to be compared based on the shortest time, lowest costs, and shortest distance for delivering goods while integrating recharge time windows into optimized routes. The study results reveal that additional recharging can significantly impact total travel time and total costs due to variable tariffs at charging stations. Consequently, the model assists in improving resource management and delivery schedule management, thereby increasing operational efficiency and correcting potential conflicts or delays. Therefore, the method provides mobility as a service and offers greater flexibility to decision-makers in selecting the path that best meets delivery objectives, aiming to propose solutions to reduce the impact on the logistics process through the adoption of electric trucks in last-mile freight transport.

Keywords: cargo transport; delivery logistics; electric truck; last mile; mobility as a service; optimization method; sustainability (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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