Optimising Last-Mile Parcel Delivery Using Connected Autonomous Shuttles | Zendy

Daniel H. Stolfi | Zendy; Cindy Guerlain | Zendy; Sebastien Faye | Zendy

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Optimising Last-Mile Parcel Delivery Using Connected Autonomous Shuttles

Author(s) -

Daniel H. Stolfi,

Cindy Guerlain,

Sebastien Faye

Publication year - 2025

Publication title -

ieee access

Language(s) - English

Resource type - Magazines

SCImago Journal Rank - 0.587

H-Index - 127

eISSN - 2169-3536

DOI - 10.1109/access.2025.3637526

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

The e-commerce market has shown a remarkable expansion rate in recent years also leading to a comparable increase of the number of mail parcels to be delivered. In this article we propose the use of autonomous, fully connected shuttles, to deliver parcels to pick-up/drop-off (PUDO) points located close to bus stops. In doing so, we aim to share passenger transport and last-mile delivery, taking advantage of empty places on shuttles to transport mail baskets optimally filled with parcels. We propose a fast greedy algorithm and a more complex genetic algorithm to solve this problem considering not only the parcels’ size and destination, but also the different shuttles’ stops and onboard space availability. Our results show that the use of this proposal reduces the number of parcels to be delivered by using the traditional postal service, which translates in less road traffic congestion and a more efficient service for customers.

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