The OAAD Transportation and Logistics also known as (OAAD TransLogistics Lab) Research Group seeks to leverage scientific findings to create sustainable transportation and logistics systems in Africa. Our research works cover green transport modes, shared mobility solutions, rapid urban transit, traffic safety, intelligent transportation systems, informal transport, railway transportation, marine transportation, logistics supply and management, international trade, and Africa inter-continental trade.

Our most recent publication is “A Call for Action on Alarming Road Traffic Injuries in Africa”

The transportation infrastructure and sustainability in Africa would require pragmatic and practical actions that are based on scientific evidence. Therefore, we intend to collaborate with industry and academia to proffer state-of-the-art solutions for improved transport services in Africa. The huge lacuna between urban areas and rural areas remains prospective for our future engagements.

OAAD TransLogistics Lab is open to collaborating with individuals and groups with common goal(s) to provide solutions to the teething problems of Africa through scientific innovation and research.


Coordinator: Philip Kofi Alimo


Research Gate:


Philip Kofi Alimo comes from the Republic of Ghana, West Africa. He is currently a PhD student at Tongji University, China, majoring in Transportation Engineering. His research interests include sustainable urban transportation, traffic behavior analysis, vulnerable road users, and transport policy. 


Secretary: Stephen Agyeman

Contact: agyeman

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Scopus ID: 57045955200


Engr. Stephen Agyeman hails from Ghana, West Africa. He is presently pursuing a terminal degree at Southeast University, China, majoring in Traffic Engineering. Also as an astute Lecturer at the Civil Engineering Department of Sunyani Technical University, he has over 10 years of accumulated teaching, mentorship, consultancy and research experience. He is versatile in many research areas including urban transportation systems analysis, smart and sustainable mobility options (non-driving mobility, SMOTs and MaaS) and green construction materials. He is currently exploiting machine learning approaches in “Next generation” Walking School Buses and Bicycle Trains optimization.