Abstract
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).
| Original language | English |
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| Title of host publication | BuildSys '24 - Proceedings of the 2024 The 11th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation |
| Place of Publication | New York, NY |
| Publisher | Association for Computing Machinery |
| Pages | 258-259 |
| ISBN (Print) | 9798400707063 |
| DOIs | |
| Publication status | Published - Oct 2024 |
| Event | 11th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys 2024) - Hangzhou, China Duration: 7 Nov 2024 → 8 Nov 2024 https://buildsys.acm.org/2024/ |
Publication series
| Name | BuildSys - Proceedings of the ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation |
|---|
Conference
| Conference | 11th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys 2024) |
|---|---|
| Abbreviated title | ACM BuildSys 2024 |
| Country/Territory | China |
| City | Hangzhou |
| Period | 7/11/24 → 8/11/24 |
| Internet address |
Research Keywords
- carbon footprint
- electric truck
- timely transportation
