PhD Forum Abstract: Minimizing Carbon Footprint for Timely E-Truck Transportation

Electrifying heavy-duty trucks is essential for decarbonizing the transportation sector and combating climate change. To fully leverage the advantages of electric trucks (E-Trucks), we need to optimize the operational carbon footprint by carefully planning routes, speeds, and charging stops, despite complex logistics and tight schedules. We propose a novel stage-expanded graph formulation that simplifies these challenges, allowing us to develop an efficient algorithm with strong performance guarantees. Utilizing real-world data from U.S. highway network, we conduct extensive simulation and show that our approach not only enhances the inherent 44% carbon reduction from electrification alone but adds an extra 24%, totaling a 68% decrease. © 2024 The owner/author(s).