Researchers from the Kwame Nkrumah University of Science and Technology (KNUST) have begun assessing traffic conditions in the Ayawaso West Wuogon Constituency as part of efforts to explore the development of a locally manufactured intelligent traffic-light system for Ghana.
The preliminary assessment was conducted by a joint team from the Distributed IoT Platforms, Privacy, and Edge-Intelligence Research Lab (DIPPER Lab) at KNUST’s College of Engineering and the Department of Physics of the College of Science. The exercise involved visits to selected locations within the Ayawaso West Wuogon Constituency to examine existing traffic conditions and gather information required for the proposed project. According to KNUST’s DIPPER Lab, the initiative follows discussions between Deputy Minister for Food and Agriculture and Member of Parliament for Ayawaso West Wuogon, John Dumelo, and the Scientific Director of the DIPPER Lab, Professor Eric Tutu Tchao, on how local expertise could be applied to address developmental challenges within the constituency.
The project represents an attempt to move beyond the conventional approach of relying primarily on imported traffic-management technologies by exploring whether Ghanaian research and engineering expertise can be used to develop and manufacture an intelligent traffic-light solution locally.
At the centre of the initiative is the combination of expertise available within KNUST. The university says the project will draw on electronics research and development from the Department of Physics, alongside Internet of Things (IoT), distributed systems and adaptive-control technologies developed through the DIPPER Lab.
These technologies are important to the concept of an intelligent traffic-management system because they provide the technological foundation for systems capable of responding to changing conditions rather than operating solely according to fixed traffic-light timings.
The current field assessment is therefore an important early stage of the project. Rather than simply installing a predetermined traffic-light design, the KNUST researchers first examined selected locations and collected information about traffic conditions and the requirements that a potential system would need to meet.
The findings from this preliminary exercise are expected to guide subsequent technical discussions and help determine whether the proposed locally manufactured intelligent traffic-light system is technically feasible for deployment in the constituency.
The research team involved in the assessment comprises Professor Eric Tutu Tchao, Professor Reuben Tamakloe, Dr Andrew Selasi Agbemenu, Dr Edem Donkor and Dr Henry Nunoo-Mensah. Their participation brings together expertise spanning engineering, physics, electronics, IoT and adaptive technologies.
For KNUST, the project also forms part of a broader effort to ensure that research and development carried out within the university produces solutions whose impact can be felt directly in communities. The university describes the traffic-light initiative as a community impact project, linking research capacity with a specific developmental challenge in an urban constituency.
The Ayawaso West Wuogon assessment comes against the wider challenge of managing traffic in rapidly growing urban areas. Traffic intersections require systems that can respond effectively to changing vehicle volumes and movement patterns, making intelligent traffic management an area where locally developed technology could have practical applications.
However, KNUST has not yet announced that a finished system has been deployed or that the proposed technology has already demonstrated specific reductions in congestion, travel time or waiting time. At this stage, the university’s official account describes the work as a preliminary assessment intended to establish traffic conditions, identify project requirements and inform the feasibility of developing and deploying the system.
This distinction is significant because the project is still progressing from assessment and technical planning towards potential development and deployment. The outcome of the current studies will help determine the technical requirements of the proposed traffic-light system and whether it can be practically implemented in the constituency.
If the project proceeds successfully, it could become an important demonstration of how Ghanaian universities can apply locally available scientific and engineering expertise to public infrastructure challenges.
It could also strengthen the case for greater investment in local research, prototyping and manufacturing, particularly in areas where Ghana currently depends heavily on externally developed technologies.
The KNUST initiative consequently places the university’s research capacity at the intersection of technology, urban mobility and local manufacturing, while providing a practical test case for how academic research can be translated into infrastructure solutions.
For now, the researchers’ assessment in Ayawaso West Wuogon marks the beginning of that process. The next stages will depend on the technical findings from the field exercise, further discussions among the project stakeholders and an assessment of the feasibility of developing and deploying a locally manufactured intelligent traffic-light system.
The project therefore offers a potentially significant opportunity for Ghanaian researchers and engineers to contribute to the country’s traffic-management needs using technologies developed through local scientific and engineering capacity.
About the Author
