Portable IoT Traffic Light System with Deterministic Cycle Recalculation and Real-Time Remote Configuration

Authors

DOI:

https://doi.org/10.29408/edumatic.v10i1.34150

Keywords:

deterministic synchronization, esp8266, iot, portable system, traffic light system

Abstract

Traffic control in temporary or emergency situations often requires portable traffic signal systems. However, many existing traffic light systems are designed as fixed infrastructure and limiting portability. This study proposes a portable IoT-based traffic light system with real-time remote configuration and a deterministic cycle recalculation mechanism to ensure coordinated signal operation. The system is implemented using ESP8266 microcontrollers, a web server with database integration, and WebSocket-based real-time communication. Performance evaluation measured synchronization accuracy and network communication quality using Round Trip Time (RTT), one-way delay, and Received Signal Strength Indicator (RSSI). The results show consistent cycle synchronization across all test scenarios, with no observed deviation between the expected and actual cycle durations. Outdoor communication testing demonstrated stable connectivity up to approximately 70 meters, with average RTT increasing from 33.44 ms to 95.44 ms while remaining within acceptable limits for real-time synchronization before degradation beyond 75 meters and connection loss at 80 meters. This study highlights the integration of portability, deterministic synchronization, and real-time configuration within a single system design. The proposed approach offers a flexible and cost-efficient alternative for temporary traffic management applications.

References

Austad, H., & Mathisen, G. (2023). net_chan: Deterministic network channels for distributed real-time systems. SoftwareX, 23, 101436. https://doi.org/10.1016/j.softx.2023.101436

Balakrishnan, K., Dhanalakshmi, R., & Gopalakrishnan, R. (2023). Clock synchronization in industrial Internet of Things and potential works in precision time protocol: Review, challenges and future directions. International Journal of Cognitive Computing in Engineering, 4, 205-219. https://doi.org/10.1016/j.ijcce.2023.06.001

Barbosa, R., Ogobuchi, O. D., Joy, O. O., Saadi, M., Rosa, R. L., Otaibi, S. Al, & Rodríguez, D. Z. (2023). IoT-based real-time traffic monitoring system using image sensors and a sparse deep learning algorithm. Computer Communications, 210, 321–330. https://doi.org/10.1016/j.comcom.2023.08.007

Eom, M., & Kim, B. I. (2020). The traffic signal control problem for intersections: a review. European transport research review, 12(1), 50. https://doi.org/10.1186/s12544-020-00440-8

Gañan-Cardenas, E., Rios-Echeverri, D. C., Ballesteros, J. R., & Branch-Bedoya, J. W. (2024). Estimating traffic congestion cost uncertainty using a bootstrap scheme. Transportation Research Part D: Transport and Environment, 136, 104462. https://doi.org/10.1016/j.trd.2024.104462

Gazzea, M., Miraki, A., Alisan, O., Kuglitsch, M. M., Pelivan, I., Ozguven, E. E., & Arghandeh, R. (2023). Traffic monitoring system design considering multi-hazard disaster risks. Scientific Reports, 13(1), 1–14. https://doi.org/10.1038/s41598-023-32086-6

Gupta, R., Singh, A. K., Tewari, P. P., & Dabral, S. (2023, December). Intelligent traffic light system based on iot. In 2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS), 1630-1635). IEEE. https://doi.org/10.1109/ICACRS58579.2023.10404951

Idrees, Z., Granados, J., Sun, Y., Latif, S., Gong, L., Zou, Z., & Zheng, L. (2020). IEEE 1588 for clock synchronization in industrial IoT and related applications: A review on contributing technologies, protocols and enhancement methodologies. IEEE access, 8, 155660-155678. https://doi.org/10.1109/ACCESS.2020.3013669

Li, B., Zhu, Y., Liu, Q., & Yao, X. (2024). Development of deterministic communication for in-vehicle networks based on software-defined time-sensitive networking. Machines, 12(11), 816. https://doi.org/10.3390/machines12110816

Manullang, A. B. P., Saragih, Y., & Hidayat, R. (2021). Implementasi NodeMCU ESP8266 dalam rancang bangun sistem keamanan sepeda motor berbasis IoT. Jurnal Informatika & Rekayasa Elektronika, 4(2), 163–170. https://doi.org/10.36595/jire.v4i2.381

Meneguzzer, C. (2024). Stability of traffic equilibria in a day-to-day dynamic model of route choice and adaptive signal control. Applied Sciences, 14(5), 1891. https://doi.org/10.3390/app14051891

Pusiknas. (2024). Jurnal data Pusiknas Bareskrim Polri tahun 2023 edisi 2024. Pusiknas Bareskrim Polri. https://pusiknas.polri.go.id/jurnal_detail/jurnal_data_pusiknas_bareskrim_polri_tahun_2023_edisi_2024

Qasim, K. R., Naser, N. M., & Jabur, A. J. (2024). An IoT-enhanced traffic light control system with Arduino and IR sensors for optimized traffic patterns. Future Internet, 16(10), 377. https://doi.org/10.3390/fi16100377

Rahman, M. M., Najaf, P., Fields, M. G., & Thill, J. C. (2022). Traffic congestion and its urban scale factors: Empirical evidence from American urban areas. International Journal of Sustainable Transportation, 16(5), 406–421. https://doi.org/10.1080/15568318.2021.1885085

Rai, S. C., Nayak, S. P., Acharya, B., Gerogiannis, V. C., Kanavos, A., & Panagiotakopoulos, T. (2023). ITSS: An intelligent traffic signaling system based on an IoT infrastructure. Electronics, 12(5), 1–23. https://doi.org/10.3390/electronics12051177

Saad, W. K., Hashim, Y., & Jabbar, W. A. (2020). Design and implementation of portable smart wireless pedestrian crossing control system. IEEE Access, 8, 106109–106120. https://doi.org/10.1109/ACCESS.2020.3000014

Sharifi, M. (2022). Robust finite-time consensus subject to unknown communication time delays based on delay-dependent criteria. Transactions of the Institute of Measurement and Control, 44(6), 1205–1216. https://doi.org/10.1177/01423312211051507

Shobana, S., Shakunthala, M., Josphine, C. V., Kingslin, M. T., Sivarajan, S., & Chairma Lakshmi, K. R. (2023). IoT-based smart traffic lights and streetlight system. Proceedings of the 2nd International Conference on Edge Computing and Applications, ICECAA 2023, 1311–1316. https://doi.org/10.1109/ICECAA58104.2023.10212121

Suhartono, A. (2022). Lampu lalu lintas adaptif untuk simpangan padat menggunakan simple additive weight. Journal of Intelligent System and Computation, 4(1), 7–15. https://doi.org/10.52985/insyst.v4i1.222

Tomar, I., Sreedevi, I., & Pandey, N. (2022). State-of-art review of traffic light synchronization for intelligent vehicles: Current status, challenges, and emerging trends. Electronics, 11(3), 465. https://doi.org/10.3390/electronics11030465

Tripathi, S., & Kabra, S. (2026). How urban vehicle composition influences population concentrations in Indian cities: a panel data analysis. Letters in Spatial and Resource Sciences, 19(1). https://doi.org/10.1007/s12076-026-00432-7

Yiğitler, H., Badihi, B., & Jäntti, R. (2020). Overview of time synchronization for IoT deployments: Clock discipline algorithms and protocols. Sensors (Switzerland), 20(20), 1–58. https://doi.org/10.3390/s20205928

Yudistira, D., & Ikhsan, M. (2025). Integrasi sistem IoT untuk pemantauan cuaca real-time dan prediksi curah hujan berbasis LSTM. Edumatic: Jurnal Pendidikan Informatika, 9(3), 758–767. https://doi.org/10.29408/edumatic.v9i3.32425

Zhang, Y., Shang, K., Cui, Z., Zhang, Z., & Zhang, F. (2023). Research on traffic flow prediction at intersections based on DT-TCN-attention. Sensors, 23(15). https://doi.org/10.3390/s23156683

Zubaidi, A., Sardi, R. I., & Jatmika, A. H. (2021). Pengamanan Internet of Things berbasis NodeMCU menggunakan algoritma AES pada arsitektur web service REST. Edumatic: Jurnal Pendidikan Informatika, 5(2), 252–260. https://doi.org/10.29408/edumatic.v5i2.4113

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Published

2026-04-26

How to Cite

Salsabela, N. T., Finnisa, T. C., & Novianto, S. (2026). Portable IoT Traffic Light System with Deterministic Cycle Recalculation and Real-Time Remote Configuration. Edumatic: Jurnal Pendidikan Informatika, 10(1), 210–219. https://doi.org/10.29408/edumatic.v10i1.34150