Herman Benjamin Atuobi
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Herman Benjamin Atuobi has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Denver Tolliver
Upper Great Plains Transportation Institute, North Dakota State University, P.O. Box 6050, Fargo, ND 58108-6050, USA
1 shared publication - Emmanuel Anu Thompson
Department of Transportation, Logistics, and Finance Upper Great Plains Transportation Institute, North Dakota State University Fargo North Dakota USA
1 shared publication - Evans Tetteh Akoto
Upper Great Plain Transportation Institute, North Dakota State University, Fargo, ND 58108, USA
1 shared publication - Jeremy Mattson
Upper Great Plains Transportation Institute, North Dakota State University, Fargo, ND 58105, USA
1 shared publication - Kwabena Dadson
Department of Transportation, Logistics, and Finance, College of Business, North Dakota State University, Fargo, ND 58105, USA
1 shared publication - Pan Lu
North Dakota State Univ
1 shared publication
Latest Publications
- Open Access
- 1 August 2025
- Published by MDPI AG in Future Transportation
- Vol. 5 (3) , 100
How Can Autonomous Truck Systems Transform North Dakota’s Agricultural Supply Chain Industry?
The swift advancements in autonomous vehicle systems have facilitated their implementation across various industries, including agriculture. However, studies primarily focus on passenger vehicles, with fewer examining autonomous trucks. Therefore, this study reviews autonomous truck systems implementation in North Dakota’s agricultural industry to develop comprehensive technology readiness frameworks and strategic deployment approaches. The review integrates systematic literature review and event history analysis of 52 studies, categorized using Social–Ecological–Technological Systems framework across six dimensions: technological, economic, social change, legal, environmental, and implementation challenges. The Technology Readiness Level (TRL) analysis reveals 39.5% of technologies achieving commercial readiness (TRL 8–9), including GPS/RTK positioning and V2V communication demonstrated through Minn-Dak Farmers Cooperative deployments, while gaps exist in TRL 4–6 technologies, particularly cold-weather operations. Nonetheless, challenges remain, including legislative fragmentation, inadequate rural infrastructure, and barriers to public acceptance. The study provides evidence-based recommendations that support a strategic three-phase deployment approach for the adoption of autonomous trucks in agriculture.
- 1 August 2025
- Published by MDPI AG in Future Transportation
- Vol. 5 (3) , 100
Open AccessHow Can Autonomous Truck Systems Transform North Dakota’s Agricultural Supply Chain Industry?
The swift advancements in autonomous vehicle systems have facilitated their implementation across various industries, including agriculture. However, studies primarily focus on passenger vehicles, with fewer examining autonomous trucks. Therefore, this study reviews autonomous truck systems implementation in North Dakota’s agricultural industry to develop comprehensive technology readiness frameworks and strategic deployment approaches. The review integrates systematic literature review and event history analysis of 52 studies, categorized using Social–Ecological–Technological Systems framework across six dimensions: technological, economic, social change, legal, environmental, and implementation challenges. The Technology Readiness Level (TRL) analysis reveals 39.5% of technologies achieving commercial readiness (TRL 8–9), including GPS/RTK positioning and V2V communication demonstrated through Minn-Dak Farmers Cooperative deployments, while gaps exist in TRL 4–6 technologies, particularly cold-weather operations. Nonetheless, challenges remain, including legislative fragmentation, inadequate rural infrastructure, and barriers to public acceptance. The study provides evidence-based recommendations that support a strategic three-phase deployment approach for the adoption of autonomous trucks in agriculture.