Students build a GPS and GSM-based alert system to warn drivers about disabled vehicles — one of the leading causes of fatal accidents on Ghanaian roads.
Ghana's roads are among the most dangerous in sub-Saharan Africa. In 2017 alone, over 20,000 vehicles were involved in accidents and 2,076 people died — a toll that has remained stubbornly high despite infrastructure improvements. One of the most lethal factors: vehicles that break down on the roadside without adequate warning systems, becoming invisible hazards in fast-moving traffic, especially at night or in poor weather.
A team of Ghanaian engineering students tackled this specific, preventable cause of accidents with a practical GPS and GSM-based alert system — a solution deployable immediately, at low cost, using existing cellular infrastructure.
The technical solution operates as a five-step alert cycle:
This approach leverages Ghana's existing mobile network coverage without requiring any new infrastructure investment from government or carriers. The system is designed to work on basic smartphone hardware — making deployment feasible across a broad range of vehicle types and economic contexts.
10 students participated in the build, working at their university's Innovation Center. The prototype was designed and built from concept to working system. The project was presented as an innovative solution at multiple institutional showcases, demonstrating that IoT-based road safety systems can be built locally, at low cost, using accessible hardware components.
According to the World Health Organization, more than 90% of road traffic deaths occur in low- and middle-income countries. Technology that can reduce accident rates in these contexts — built at low cost and using existing infrastructure — has enormous potential for scaling across Sub-Saharan Africa and beyond.
The Ghana project demonstrates a principle that applies broadly to tech-for-good engineering: sometimes the most effective development technology doesn't require cutting-edge innovation. GPS receivers, GSM modems, and proximity algorithms have existed for years. What the student team contributed was the insight to combine them effectively for a specific, well-understood local problem — and the execution to build it as a working prototype.