TY - CONF
T1 - Autonomous Heavy-Duty Vehicles in Logistics: Market Trends, Opportunities, and Barriers
AU - Hashimy, Loha
AU - Castillo, Isabella
AU - Schildorfer, Wolfgang
AU - Neubauer, Matthias
N1 - Publisher Copyright:
© The Author(s) 2026.
PY - 2025
Y1 - 2025
N2 - This paper presents a comprehensive market research study focused on identifying opportunities and barriers for the adoption of autonomous heavy-duty vehicles (AHDVs) in the logistics industry. The methodology employs a qualitative approach, utilizing workshops, questionnaires, interviews, and social media polls to collect primary and secondary data. The empirical findings highlight both the current landscape and the future trends in AHDVs, fleet management, and logistics. The study reveals the importance of safety, technological readiness, regulatory challenges, and infrastructure development as key barriers, while also showcasing potential benefits like increased safety, reduced costs, and improved efficiency. Furthermore, a quadrant analysis prioritizes these opportunities and barriers for strategic decision-making. The article concludes by discussing the implications of the findings and the broader context of autonomous vehicles in logistics.
AB - This paper presents a comprehensive market research study focused on identifying opportunities and barriers for the adoption of autonomous heavy-duty vehicles (AHDVs) in the logistics industry. The methodology employs a qualitative approach, utilizing workshops, questionnaires, interviews, and social media polls to collect primary and secondary data. The empirical findings highlight both the current landscape and the future trends in AHDVs, fleet management, and logistics. The study reveals the importance of safety, technological readiness, regulatory challenges, and infrastructure development as key barriers, while also showcasing potential benefits like increased safety, reduced costs, and improved efficiency. Furthermore, a quadrant analysis prioritizes these opportunities and barriers for strategic decision-making. The article concludes by discussing the implications of the findings and the broader context of autonomous vehicles in logistics.
KW - Autonomous Heavy-Duty Vehicles (AHDVs)
KW - Barriers
KW - Logistics
KW - and opportunities
UR - https://www.scopus.com/pages/publications/105019306977
U2 - 10.1007/978-3-032-06763-0_84
DO - 10.1007/978-3-032-06763-0_84
M3 - Paper
SP - 585
EP - 592
ER -