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Design and Implementation of IoT‐Based Smart Solar-Powered Traffic Lights in Dutse LGA, Jigawa State

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Background of the study:
Urban traffic management is critical to ensuring road safety and reducing congestion, yet conventional traffic lights often suffer from power supply issues and outdated control mechanisms. In Dutse LGA, Jigawa State, frequent power outages and inefficient traffic signal management contribute to severe congestion and increased accident rates. The design of an IoT‐based smart solar-powered traffic light system offers a sustainable solution that integrates renewable energy with advanced digital control. By harnessing solar energy, these systems provide a reliable, independent power source that reduces dependence on the grid (Ibrahim, 2023). IoT sensors embedded within traffic lights monitor real-time traffic flow, ambient light, and pedestrian movement, enabling adaptive signal control that dynamically adjusts timing based on current conditions (Adeniyi, 2024). Data collected is transmitted wirelessly to a centralized traffic management platform, where machine learning algorithms analyze the information to optimize signal patterns and reduce congestion. This approach not only enhances road safety by ensuring consistent operation during power outages but also promotes environmental sustainability by reducing carbon emissions associated with conventional traffic systems (Udo, 2025). Additionally, the system’s integration with smart city platforms allows for proactive maintenance and remote diagnostics, further improving reliability and operational efficiency. Overall, the implementation of IoT‐based smart solar-powered traffic lights represents a significant advancement in urban mobility management and aligns with global trends in sustainable infrastructure development.

Statement of the problem:
Traffic management in Dutse LGA is compromised by the frequent failure of conventional traffic lights due to unreliable power supplies and static signal timing. These issues result in prolonged congestion, increased fuel consumption, and higher accident rates (Ibrahim, 2023). The reliance on grid power makes traditional traffic lights vulnerable to outages, which disrupts traffic flow and poses safety risks. Moreover, manual control and fixed timing do not adapt to real-time changes in traffic density or pedestrian activity, leading to inefficiencies and delays (Adeniyi, 2024). The lack of data-driven optimization further exacerbates the problem, preventing timely adjustments that could alleviate congestion. Financial limitations and outdated infrastructure have hindered the adoption of modern traffic management solutions, leaving the urban network fragmented and inefficient. Without the implementation of a smart, solar-powered, IoT‐based traffic light system, the region continues to face significant challenges in managing traffic flow, thereby affecting commuter safety and overall urban mobility (Udo, 2025).

Objectives of the study:

  • To design an IoT‐based smart traffic light system powered by solar energy.

  • To evaluate the system’s effectiveness in adapting signal timing based on real-time traffic conditions.

  • To propose integration strategies for incorporating the system with existing urban traffic management frameworks.

Research questions:

  • How effective is the IoT‐based system in controlling traffic signals dynamically?

  • What improvements in traffic flow and safety are observed after implementation?

  • How can the system be integrated with current traffic management practices to optimize urban mobility?

Significance of the study:
This study is significant because it integrates renewable energy and IoT technology to enhance traffic management. The smart solar-powered traffic lights provide reliable operation during power outages and dynamically adjust to real-time traffic conditions, reducing congestion and improving road safety. The research findings will guide urban planners and policymakers in adopting sustainable, efficient traffic control systems in Dutse LGA.

Scope and limitations of the study:
This study is limited to the design, implementation, and evaluation of an IoT‐based smart solar-powered traffic light system in Dutse LGA. It does not extend to other urban infrastructure or regions.

Definitions of terms:

  • IoT (Internet of Things): A network of interconnected devices that exchange real‐time data.

  • Solar-Powered Traffic Lights: Traffic signals that utilize solar energy as their primary power source.

  • Adaptive Signal Control: Technology that adjusts traffic light timing based on real-time traffic conditions.


 





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