As Nigeria’s major cities grapple with worsening traffic congestion, a new study from U.S.-based Nigerian engineer Ms. Chika Uchechi Osuagwu presents an innovative, cost-effective approach to traffic monitoring that could transform urban mobility in the country.

The research, titled “Development of Intelligent Magnetic Sensing Systems for Traffic Detection and Urban Mobility Enhancement”, was recently published in the Cross Current International Journal of Medical and Biosciences. It introduces an intelligent magnetic sensing system that uses perturbations in the Earth’s magnetic field—caused by moving vehicles—to detect, classify, and analyze traffic in real time.

Unlike traditional systems that depend on high-maintenance camera networks or GPS trackers prone to failure in Nigeria’s infrastructure-deficient environment, Ms. Osuagwu’s system leverages low-cost, non-intrusive magnetic sensors, supported by machine learning and IoT technology. These sensors are embedded into roads or installed roadside, offering real-time traffic data without breaching driver privacy or requiring extensive infrastructure.

“This research has practical significance for Nigeria,” said Mr. Bayo Akinlade, Assistant Director of Planning at the Federal Road Safety Corps (FRSC). “We’ve struggled with scalable solutions due to budget limitations. A low-cost, intelligent system like this could help traffic managers make evidence-based decisions, especially in congested corridors like Berger, Apapa, or Gwarinpa.”

Pilot deployment of the system achieved a vehicle classification accuracy of up to 92%, with buses and heavy vehicles showing the highest detection rates. It also provides real-time congestion alerts every two seconds, helping to preempt gridlocks before they escalate. In cities like Lagos, where a single breakdown can paralyze traffic for hours, this kind of early warning system could be game-changing.

“If LASTMA could access real-time traffic flow data without deploying dozens of officers on the ground, it would greatly improve response time and reduce human error,” noted Mrs. Adebola Okonkwo, a senior traffic controller at the Lagos State Traffic Management Authority (LASTMA). “This is the kind of technology we’ve been waiting for—one that adapts to Nigerian realities.”

Beyond traffic control, the study also emphasizes scalability and privacy. Ms. Osuagwu highlights that the system can operate even with limited internet connectivity, and that no personal or visual data is captured—only vehicle types, speeds, and flow patterns.

“In environments like Nigeria where power outages and low bandwidth are common, a resilient system like this, running on local microcontrollers and edge devices, is ideal,” said Ms. Osuagwu. “It was designed for high-density, high-complexity traffic environments, particularly in the developing world.”

Urban planning experts have praised the study for its forward-thinking recommendations, including integration into smart city frameworks, use of edge computing for faster response, and multi-sensor fusion to improve classification in chaotic urban traffic.

“We need indigenous or Africa-focused solutions, not imported tools that can’t survive Nigerian conditions,” said Engr. Tunde Ayodele, Head of Innovation at the Nigerian Society of Engineers (NSE), Transport Division. “This research shows that practical, homegrown innovation is possible.”

As governments at all levels face pressure to reduce the economic costs of congestion—which the Lagos Chamber of Commerce estimates at over ₦1 trillion annually—this magnetic sensing system may offer a critical leap toward smarter and more sustainable urban mobility.

Ms. Osuagwu is currently seeking partnerships with Nigerian agencies, private investors, and municipal governments to pilot the technology locally and adapt it to Nigeria’s unique transportation ecosystem.

“This isn’t just theory,” she said. “It’s a working system that’s affordable, reliable, and ready to help our cities move better.”