Development of Arduino Based Intelligent Traffic Control System for Intersections in Akure, Nigeria
DOI:
https://doi.org/10.70028/dcea.v2i2.57Keywords:
Microcontroller, Arduino, Traffic Congestion, Infrared Sensors, Intelligent Traffic Control System, Environmental PollutionAbstract
Traffic congestion at urban intersections remains a major challenge, causing delays, fuel waste, economic losses, and environmental pollution. Conventional traffic control systems are limited by fixed signal timing and their inability to adapt to real-time traffic demand. This study proposes an Arduino-based Intelligent Traffic Control System (ITCS) that integrates infrared sensors with Arduino Uno microcontroller to detect actual vehicle flow and adaptively allocate right of way. Applied to the Araromi intersection, simulation results showed that the ITCS introduced two key innovations of gapping out and maxing out. Unnecessary delays on low-demand approaches during off-peak periods were eliminated, while green times were extended till maximum only when queued vehicles were detected during peak hours. These features ensured efficient traffic discharge and reduced congestion. The optimized signal cycle was 80 seconds, with the main street (east–west approaches) operating on green, red, and amber times of 40, 35, and 5 seconds, respectively, while the minor street (north approach) operated on 30, 45, and 5 seconds, respectively. The findings indicated that reducing unnecessary waiting times significantly lowers fuel consumption, emissions, and economic costs. Moreover, cost analysis revealed that the ITCS can be implemented with a low budget, making it scalable for other intersections and adaptable to developing countries. By combining affordability, adaptability, and environmentally friendly operation, the proposed ITCS offers a practical and innovative solution for improving urban traffic management.
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C. Schicktanz, L. Klitzke, and K. Gimm, “Microscopic analysis of the impact of congestion on traffic safety and efficiency at a signalized intersection: A case study,” in Proc. IEEE 26th Int. Conf. Intell. Transp. Syst. (ITSC), Bilbao, Spain, Sep. 2023, pp. 2827-2834, doi: http://dx.doi.org/10.1109/ITSC57777.2023.10422205
W. Mulbah, N. Himanshu, and A. Nautiyal, “Mitigating traffic congestion using intelligent transportation systems,” in AIP Conf. Proc., vol. 3146, no. 1, Jul. 2024, Art. no. 050003, doi: http://dx.doi.org/10.1063/5.0224788
U. O. Salisu, A. A. Akanmu, S. O. Fasina, and S. M. Sanni, “Traffic congestion and intelligent transport system in a fast-growing Nigeria city,” Transp. Commun., vol. 8, no. 1, pp. 36-49, 2020, doi: http://dx.doi.org/10.26552/tac.C.2020.1.6
E. S. Prassas and R. P. Roess, “Unsignalized intersections: Two-way stop control (TWSC),” in The Highway Capacity Manual: A Conceptual and Research History, Volume 2 (Springer Tracts on Transportation and Traffic, vol. 12). Cham, Switzerland: Springer, 2020, pp. 51-105, doi: http://dx.doi.org/10.1007/978-3-030-34480-1_4
J. F. Odesanya, “A performance analysis of a two-way stop control (TWSC) intersection under mixed traffic conditions,” Int. J. Eng. Technol. (IJET), vol. 8, no. 4, pp. 131-138, 2023, doi: http://dx.doi.org/10.19072/ijet.1146714
M. A. Ottom and A. Al-Omari, “An adaptive traffic lights system using machine learning,” Int. Arab J. Inf. Technol., vol. 20, no. 3, pp. 407-418, 2023, doi: https://doi.org/10.34028/iajit/20/3/13
A. Yuloskov, M. R. Bahrami, M. Mazzara, G. B. Imbugwa, I. Ndukwe, and I. Kotorov, “Traffic light algorithms in smart cities: Simulation and analysis,” in Proc. Int. Conf. Adv. Inf. Netw. Appl. (AINA), Cham, Switzerland: Springer, Mar. 2023, pp. 222-235, doi: http://dx.doi.org/10.1007/978-3-031-29056-5_21
V. Vijayaraghavan and J. R. Leevinson, “Intelligent traffic management systems for next generation IoV in smart city scenario,” in Connected Vehicles in the Internet of Things: Concepts, Technologies and Frameworks for the IoV. Cham, Switzerland: Springer, 2020, pp. 123-141, doi: http://dx.doi.org/10.1007/978-3-030-36167-9_6
E. T. Idowu, O. J. Nnamani, and O. O. Aderinlewo, “Geographic information systems and MATLAB simulation to quantify and analyze traffic congestion in Oja Oba Road, Arakale Road, and Akure-Ilesha Expressway of Akure, Ondo State, Nigeria,” J. Appl. Sci. Environ. Manage., vol. 29, no. 1, pp. 29-34, 2025, doi: http://dx.doi.org/10.4314/jasem.v29i1.4
A. Salami, O. Aderinlewo, and M. Tanimola, “Assessment of the levels of service for roads in the Central Business District (CBD) of Akure, Nigeria,” Romanian J. Civ. Eng., vol. 15, no. 3, pp. 1-9, 2024, doi: http://dx.doi.org/10.37789/rjce.2024.15.3.7
T. S. Ayeni and S. D. Iyeke, “Determination of traffic characteristics for an urban road under mixed traffic conditions,” J. Nigerian Assoc. Math. Phys., vol. 67, no. 1, pp. 1-8, 2024, doi: http://dx.doi.org/10.60787/jnamp-v67i1-336
A. Adanikin, J. A. Ajayi, J. Oyedepo, I. Adeoye, and D. L. Twaki, “Traffic congestion assessment of Akure Central Business District using geographic information system (GIS),” Ann. Fac. Eng. Hunedoara, vol. 21, no. 2, pp. 105-110, 2023, doi: http://annals.fih.upt.ro/
S. Adelakun and A. Olufikayo, “Development of a framework for reduction of urban traffic congestion: Case study of Akure Central Business District, Nigeria,” J. Civ. Eng. Urbanism, vol. 12, no. 2, pp. 20-26, 2022, doi: http://dx.doi.org/10.54203/jceu.2022.4
O. Aderinlewo and T. Ojekale, “Performance assessment of selected intersections in Akure, Nigeria,” Rev. Romana Ing. Civ., vol. 11, no. 3, pp. 337-353, 2020, doi: http://dx.doi.org/10.37789/rjce.2020.11.3.6
A. Samson, P. Akinlolu, and O. Olugbenga, “Smart traffic signal control system for two inter-dependent intersections in Akure, Nigeria,” J. Eng. Stud. Res., vol. 28, no. 3, pp. 82-92, 2022, doi: http://dx.doi.org/10.29081/jesr.v28i3.010
K. Achunin, Z. M. Abubakar, U. M. Bashir, M. A. Yusuf, S. Thomas, and A. O. Nyangwarimam, “Simple smart traffic management system,” in Proc. 2nd Int. Conf. Multidiscip. Eng. Appl. Sci. (ICMEAS), Nov. 2023, pp. 1-7, doi: http://dx.doi.org/10.1109/ICMEAS58693.2023.10429860
U. Abubakar, A. Shuaibu, Z. Haruna, A. Ore-Ofe, Z. M. Abubakar, and R. F. Adebiyi, “Development of a density-based traffic light signal system,” Eng. Proc., vol. 56, no. 1, pp. 1-6, 2023, doi: http://dx.doi.org/10.3390/ASEC2023-15269
A. A. Okubanjo, B. Odufuwa, B. Akinloye, and I. Okakwu, “Smart intersection and IoT: Priority driven approach to urban mobility,” ITEGAM–JETIA, vol. 10, no. 50, pp. 138-143, 2024, doi: http://dx.doi.org/10.5935/jetia.v10i50.1126
T. E. Somefun, C. O. A. Awosope, A. Abdulkareem, E. Okpon, A. S. Alayande, and C. T. Somefun, “Design and implementation of density-based traffic management system,” Int. J. Eng. Res. Technol., vol. 13, no. 9, pp. 2157–2164, 2020, doi: doi: http://dx.doi.org/10.37624/IJERT/13.9.2020.2157-2164
S. A. Akinwumi, J. C. Okeke, O. W. Ayanbisi, T. E. Arijaje, E. I. Ogunwale, O. F. Oladapo, and I. O. Araka, “Design and construction of a density-controlled traffic light system,” WSEAS Trans. Circuits Syst., vol. 22, pp. 158–165, 2023, doi: http://dx.doi.org/10.37394/23201.2023.22.18
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Copyright (c) 2025 Reuben Ayodeji Bolaji, Olumuyiwa Samson Aderinola, Moses Ariyo Oladipo, Temitope Elizabeth Oguntelure, Michael Oluwagbenga Abanire, Joshua Imoleayo Bolaji (Author)
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