Multimodal Autonomous Delivery Systems: A Pilot Study of Middle-Mile and Last-Mile Integration

This paper presents findings from a multimodal autonomous delivery pilot project conducted in Arlington, Texas, with active community participation. Over one week, an integrated system combining an uncrewed aircraft system and an autonomous ground vehicle completed 139 scheduled food box deliveries to residents. The paper highlights the operational potentials and challenges revealed through the demonstration and introduces mathematical models to evaluate four key factors—risk, cost, environmental impact, and delivery time—that affect the delivery process. Recognizing that stakeholders prioritize these factors differently, the paper proposes a guideline for formulating delivery planning and scheduling as a mixed optimization problem.

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Publication Details

Journal
IEEE Systems Man and Cybernetics Magazine
Published
2025-01-01
DOI
https://doi.org/10.1109/msmc.2025.3613071
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Multimodal Autonomous Delivery Systems: A Pilot Study of Middle-Mile and Last-Mile Integration

A. David Klein, F.D. Trujillo, J Wentzel, Yan Wan et al.
IEEE Systems Man and Cybernetics Magazine
Advanced Manufacturing and Logistics Optimization
article

Multimodal Autonomous Delivery Systems: A Pilot Study of Middle-Mile and Last-Mile Integration

A. David Klein, F.D. Trujillo, J Wentzel, Yan Wan, B. George, Ahmet Taha Koru, Ernest Huffman, Jenny C. Sanchez, Ann Foss, María M. Antón, Santiago Barrera, Jose Barzallo, David Purcell, Bruce Briglia, Savana Nance
article en

Abstract

This paper presents findings from a multimodal autonomous delivery pilot project conducted in Arlington, Texas, with active community participation. Over one week, an integrated system combining an uncrewed aircraft system and an autonomous ground vehicle completed 139 scheduled food box deliveries to residents. The paper highlights the operational potentials and challenges revealed through the demonstration and introduces mathematical models to evaluate four key factors—risk, cost, environmental impact, and delivery time—that affect the delivery process. Recognizing that stakeholders prioritize these factors differently, the paper proposes a guideline for formulating delivery planning and scheduling as a mixed optimization problem.

IEEE Systems Man and Cybernetics Magazine
The University of Texas at Arlington (US), North Central Texas Council of Governments (US), Cleary University (US), Arlington Baptist College (US), Community Food Bank (US), Colombian Air Force (CO), DigitalSpace (United States) (US)
Openalex Percentile: Top 63%
Advanced Manufacturing and Logistics Optimization
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Multimodal Autonomous Delivery Systems: A Pilot Study of Middle-Mile and Last-Mile Integration — A. David Klein, F.D. Trujillo, et al. · IEEE Systems Man and Cybernetics Magazine (2025) | TGRS Research Map | TGRS