AUTO MOTION SOLAR POWERED ROAD LIGHTING SYSTEM
DOI:
https://doi.org/10.35631/IJIREV.826006Keywords:
Auto Motion, Energy Efficiency, Motion Detection, Smart Street Lighting, Solar-PoweredAbstract
The Auto Motion Solar Powered Road Lighting System is designed to enhance energy efficiency, safety, and environmental sustainability in urban roadways. This system integrates motion and light sensors to automatically adjust the brightness of LED lamps based on vehicle detection and ambient light levels. The lamps operate at 50% brightness under low ambient light conditions and increase to full brightness when vehicles are detected. Conventional solar-powered street lighting systems often operate at fixed illumination levels, resulting in unnecessary energy consumption during periods of low traffic. Although motion-activated lighting has been proposed, limited studies have evaluated integrated systems combining adaptive brightness control, environmental sensing, and real-time monitoring in a cost-effective solution. Powered by a solar energy system, this solution minimizes energy consumption and light pollution, contributing to a more sustainable urban environment. Additionally, an LCD display monitors and records motion counts and ambient light level, providing valuable data for further optimization. An audible alert is activated whenever motion is detected to verify sensor operation during testing. The project aims to create a cost-effective and eco-friendly lighting solution that improves road safety and reduces environmental impact.
Downloads
References
Akanksha, M. B., Jambhulkar, D. C., Padghan, P. A., & Yawa, N. V. (2020). Hybrid power generation for highway application. International Journal of Advances in Engineering and Management, 2(7), 657–661. https://doi.org/10.35629/5252-0207657661
Al-Smadi, A. M., Salah, S. T., Al-Moomani, A. A., & Al-Bataineh, M. S. (2019). Street lighting energy-saving system. 2019 16th International Multi-Conference on Systems, Signals & Devices (SSD), 763–766. https://doi.org/10.1109/SSD.2019.8893160
Attia, H., Takruri, M., & Omar, A. (2022). Design and implementation of decentralized streetlight dimming system for different motion sensor strengths and unlimited light poles. 2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA), 63–67. https://doi.org/10.1109/ICECTA57148.2022.9990126
Faid, M. S., Shariff, N. N. M., Hamidi, Z. S., Sabri, S. N. U., Zainol, N. H., Husien, N. H., & Ali, M. O. (2016). Monitoring the level of light pollution and its impact on astronomical bodies naked-eye visibility range in selected areas in Malaysia using Sky Quality Meter. 2016 International Conference on Industrial Engineering, Management Science and Application (ICIMSA), 1–6. https://doi.org/10.1109/ICIMSA.2016.7504020
Jiang, W., Wang, T., Yuan, D., Sha, A., Zhang, S., Zhang, Y., Xiao, J., & Xing, C. (2024). Available solar resources and photovoltaic system planning strategy for highway. Renewable and Sustainable Energy Reviews, 203, Article 114765. https://doi.org/10.1016/j.rser.2024.114765
Jung, J., Han, S. U., & Kim, B. (2019). Digital numerical map-oriented estimation of solar energy potential for site selection of photovoltaic solar panels on national highway slopes. Applied Energy, 242, 57–68. https://doi.org/10.1016/j.apenergy.2019.03.101
Kyuchukov, T. (2019). Light pollution—“Borders” of lighting design. 2019 Second Balkan Junior Conference on Lighting (Balkan Light Junior), 1–5. https://doi.org/10.1109/BLJ.2019.8883614
Nguyen, V. C., Wang, C.-T., & Hsieh, Y.-J. (2021). Electrification of highway transportation with solar and wind energy. Sustainability, 13(10), Article 5456. https://doi.org/10.3390/su13105456
Ntshangase, M. S., Langa, H. M., & Mathaba, T. N. D. (2024). Energy efficient control approach for street lighting. 2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG), 1–7. https://doi.org/10.1109/SEB4SDG60871.2024.10629873
Petrinska, I., & Ivanov, D. (2020). Estimation of the light pollution, introduced by the architectural lighting of an educational building. 2020 Fifth Junior Conference on Lighting (Lighting), 1–4. https://doi.org/10.1109/Lighting47792.2020.9240557
Pinto, R. A., Roncalio, J. G., & do Prado, R. N. (2013). Street lighting system using light emitting diode (LEDs) supplied by the mains and by batteries. 2013 International Conference on New Concepts in Smart Cities: Fostering Public and Private Alliances (SmartMILE), 1–7. https://doi.org/10.1109/SmartMILE.2013.6708204
Sailesh, B. S. A., Madhavi, S. A., Venkata, G. P., Sravanthi, I., Kiran, K. B. S., & Venkateswara Rao, C. (2021). Arduino based smart street light system. 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), 657–660. https://doi.org/10.1109/ICAC3N53548.2021.9725439
Savla, D. V., Savla, H. R., & Kansara, K. B. (2018). Brainy streets: An automatic lighting system. 2018 2nd International Conference on Inventive Systems and Control (ICISC), 16–21. https://doi.org/10.1109/ICISC.2018.8399064
Sharma, P., & Harinarayana, T. (2013). Solar energy generation potential along national highways. International Journal of Energy and Environmental Engineering, 4(1), Article 16. https://doi.org/10.1186/2251-6832-4-16
Zahran, E.-S. M. M., Tan, S. J., Yap, Y. H., Tan, E. H., Pena, C. M. F., Yee, H. F., & Uddin, M. R. (2019). An investigation into the impact of alternate road lighting on road traffic accident hotspots using spatial analysis. 2019 4th International Conference on Intelligent Transportation Engineering (ICITE), 242–246. https://doi.org/10.1109/ICITE.2019.8880263
Zhang, K., Chen, M., Yang, Y., Zhong, T., Zhu, R., Zhang, F., Qian, Z., Lü, G., & Yan, J. (2022). Quantifying the photovoltaic potential of highways in China. Applied Energy, 324, Article 119600. https://doi.org/10.1016/j.apenergy.2022.119600
