Electric Vehicle Routing Optimization for Postal Delivery and Waste Collection in Smart Cities

This paper addresses two important smart city logistics problems, i.e., Postal Delivery and Waste Collection, using Electric Vehicle Routing Problems. To this aim two Mixed Integer Linear Programming problems are formulated with the objective of carrying out the collection or delivery activities by minimizing the route length, respecting the working time, and considering the Electric Vehicles (EVs) battery charge constraints. While satisfying the customer needs under the mentioned traveling constraints, the proposed models take into account the implementation of smart charging strategies to minimize the demand peaks on the power grid both at district and charge station levels, that is suitable in large scale problems. To address the complexity of the models, a heuristic algorithm implementing clustering and routing strategies is proposed. Two case studies are implemented to demonstrate the effectiveness of the proposed models for Postal Delivery and Waste Collection activities in large systems.

• Record URL:
  • https://doi.org/10.1109/TITS.2025.3529181
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/41297384
• Supplemental Notes:
  • Copyright © 2025, IEEE.
• Authors:
  • Asuncion del Cacho Estil-Les, Maria
  • Marcello Mangini, Agostino
  • Roccotelli, Michele
  • Fanti, Maria Pia
• Publication Date: 2025-3

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 3307-3323
• Serial:
  • IEEE Transactions on Intelligent Transportation Systems
  • Volume: 26
  • Issue Number: 3
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 1524-9050
  • Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979

Subject/Index Terms

• TRT Terms: Delivery service; Electric vehicles; Optimization; Postal service; Routing; Waste disposal
• Subject Areas: Energy; Highways; Operations and Traffic Management; Vehicles and Equipment;

Filing Info

• Accession Number: 01970859
• Record Type: Publication
• Files: TRIS
• Created Date: Nov 12 2025 8:39AM