Decision Support System for Waste Collection Truck Electrification

Grantees: Mesut Yavuz – University of Alabama and Isil Koyuncu – University of Texas at San Antonio

Amount: $148,724

Project Duration: 1 year

This project develops a data-driven decision support tool to help waste agencies transition to electric collection fleets. By integrating machine learning, mathematical optimization, and real-world data from San Antonio, Texas, the research identifies optimal fleet composition, vehicle routing, and charging strategies. The outcomes will provide practical guidance for fleet managers seeking to reduce greenhouse gas emissions while maintaining efficient and cost-effective operations.