Optimizing Smart Pole Placement: A Strategic Set Covering Approach in Phra Nakhon Si Ayutthaya

Authors

  • Wichai Witayakiattilerd Department of Mathematics and Statistics, Faculty of Science and Technology, Thammasat University, Pathum Thani, Thailand
  • Pantita Lertkrai Department of Mathematics and Statistics, Faculty of Science and Technology, Thammasat University, Pathum Thani, Thailand
  • Wachirada Limpanawannakul Department of Mathematics and Statistics, Faculty of Science and Technology, Thammasat University, Pathum Thani, Thailand
  • Jirawan Phuphon Department of Mathematics and Statistics, Faculty of Science and Technology, Thammasat University, Pathum Thani, Thailand

Keywords:

Smart city, smart pole, set covering problem, integer linear programming model

Abstract

This research introduces a method for optimally placing smart poles in urban areas, using a model based on a set covering problem principles and hexagonal space partitioning, solved with QGIS and IBM CPLEX. Applied to the Phra Nakhon Si Ayutthaya District, it identified 668 optimal spots for smart poles. The results emphasize the significance of proper location selection for smart pole functionality and its potential application in other cities. This optimization can increase urban efficiency and citizens quality of life.

References

Alam, M., & Siddiqui, M. I. (2023). Effective framework to tackle urban unemployment by e-government: An IoT solution for smart/metro cities in developing nations. Journal of Science and Technology Policy Management, 14(1), 213–238.

Alizadeh, R., & Nishi, T. (2020). Hybrid set covering and dynamic modular covering location problem: Application to an emergency humanitarian logistics problem. Applied Sciences, 10(20), 7110.

Badri, M. A., Mortagy, A. K., & Alsayed, C. A. (1998). A multi-objective model for locating fire stations. European Journal of Operational Research, 110(2), 243–260.

Boonraksa, T., Boonraksa, P., Sakulphaisan, G., & Marungsri, B. (2020). Strategic planning of charging stations for electric public transportation bus systems: A case study. International Review of Electrical Engineering (IREE), 15(6), 512–522.

Campbell, J. F. (1994). Integer programming formulations of discrete hub location problems. European Journal of Operational Research, 72(2), 387–405.

Caprara, A., Toth, P., & Fischetti, M. (2000). Algorithms for the set covering problem. Annals of Operations Research, 98(1), 353–371.

Farahani, R. Z., Asgari, N., Heidari, N., Hosseininia, M., & Goh, M. (2012). Covering problems in facility location: A review. Computers & Industrial Engineering, 62(1), 368–407.

Guo, J., Du, Q., & He, Z. (2021). A method to improve the resilience of multimodal transport network: Location selection strategy of emergency rescue facilities. Computers & Industrial Engineering, 161, 107678.

Hung, H. C. (2024). Beam: An insect-friendly outdoor lighting (Master’s thesis). Pratt Institute.

Jiang, Y., Liu, C.-C., & Xu, Y. (2016). Smart distribution systems. Energies, 9(4), 297.

Khosravi, A., Laukkanen, T., Saari, K., & Vuorinen, V. (2021). An artificial intelligence-based model for heat transfer modeling of 5G smart poles. Case Studies in Thermal Engineering, 28, 101613.

Kurnia, G., Adzkia, H. F., & Rachmawati, N. L. (2023). Dry port location selection: A case study of Tanjung Intan Port. Journal of Emerging Supply Chain and Clean Energy Process Engineering, 2(1), 45–58.

Kyee, D. L. T., & Moin, N. H. (2018). Matheuristic approach for production–inventory–distribution routing problem. Chiang Mai Journal of Science, 45(2), 1145–1160.

Ligman, N. D. (2022). Smart pole. Retrieved January 21, 2022, from https://www.ligman.com/

Liu, Q., Ma, Y., Chen, L., Pedrycz, W., Skibniewski, M. J., & Chen, Z. S. (2024). Artificial intelligence for production, operations and logistics management in modular construction industry: A systematic literature review. Information Fusion, 102423.

Rakwongwan, U., Archankul, A., Rujivan, S., & Bastian, P. (2021). The numerical visualization of air pollution propagation from a single generator to an observed area. Chiang Mai Journal of Science, 48(5), 1430–1443.

Ranjan, P., Rao, R. S., Kumar, K., & Sharma, P. (2022). Wireless communication: Advancements and challenges. CRC Press.

Sarawanangkoor, M. N., Chanvarasuth, P., & Chaysiri, R. (2020). Locating primary care facilities with utilization rate: Case study of Surin, Thailand (Doctoral dissertation). Thammasat University.

Sendin, A., Peña, I., & Angueira, P. (2014). Strategies for power line communications smart metering network deployment. Energies, 7(4), 2377–2420.

Sjahruddin, H., & Dahlan, A. F. (2024). Optimizing business location for small and medium enterprises considering travel time uncertainty, natural disasters, and density population: A study case in Jakarta. Journal of Systems Management and Industry, 8(1), 47–60.

Velaga, N. R., & Kumar, A. (2012). Techno-economic evaluation of the feasibility of a smart street light system: A case study of rural India. Procedia – Social and Behavioral Sciences, 62, 1220–1224.

Wu, X., Liu, J., Men, Y., Chen, B., & Lu, X. (2022). Optimal energy storage system and smart switch placement in dynamic microgrids with applications to marine energy integration. IEEE Transactions on Sustainable Energy, 14(2), 1205–1216.

Zaharudin, Z. A., Shuib, A., Hadianti, R., & Rodzi, Z. M. (2023). Towards sustainable city: A covering model for recycling facility location–allocation in Nilai, Malaysia. Science and Technology Indonesia, 8(4), 570–578.

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Published

2025-12-27

How to Cite

Witayakiattilerd, W. ., Lertkrai, P. ., Limpanawannakul, W. ., & Phuphon, J. . (2025). Optimizing Smart Pole Placement: A Strategic Set Covering Approach in Phra Nakhon Si Ayutthaya. Thailand Statistician, 24(1), 154–168. retrieved from https://ph02.tci-thaijo.org/index.php/thaistat/article/view/263024

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