A Novel Edge-Enabled Adaptive Traffic Light System Using Nonlinear Optimization

Zainab Kadhim Abed

References:

1. P. Raja, S. S. Kumar, D. Yadav, and T. Singh, “The Internet of Things (IoT): A review of concepts, technologies, and applications,” International Journal of Information Technology and Computer Engineering, no. 32, pp. 21–32, 2023, doi: 10.55529/ijitc.32.21.32.
2. A. Gaur, B. Scotney, G. Parr, and S. McClean, “Smart city architecture and its applications based on IoT,” Procedia Computer Science, vol. 52, pp. 1089–1094, 2015, doi: 10.1016/j.procs.2015.05.122.
3. H. Omar Al-Sakran, “Intelligent traffic information system based on integration of Internet of Things and agent technology,” 2015. [Online]. Available: www.ijacsa.thesai.org.
4. F. Al-Turjman and A. Malekloo, “Smart parking in IoT-enabled cities: A survey,” Sustainable Cities and Society, vol. 49, p. 101608, Aug. 2019, doi: 10.1016/j.scs.2019.101608.
5. Proc. 2020 IEEE Int. Conf. Internet Things (iThings), Green Comput. Commun. (GreenCom), Cyber, Phys. Social Comput. (CPSCom), Smart Data (SmartData), Congr. Cybermatics (Cybermatics), Beijing, China, 2020, doi: 10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics50389.2020.00012.
6. S. S. Siripuram, “Leveraging edge computing for scalable real-time cloud systems,” [Online]. Available: www.ijfmr.com.
7. L. Liu, C. Chen, Q. Pei, S. Maharjan, and Y. Zhang, “Vehicular edge computing and networking: A survey,” arXiv: Signal Processing, 2019. [Online]. Available: https://arxiv.org/pdf/1908.06849.pdf.
8. R. Kolapo, F. M. Kawu, A. D. Abdulmalik, U. A. Edem, M. Young, and E. C. Mordi, “Edge computing: Revolutionizing data processing for IoT applications,” International Journal of Science and Research Archive, vol. 13, no. 2, pp. 23–29, 2024, doi: 10.30574/ijsra.2024.13.2.2082.
9. A. Kamput, C. Dechsupa, W. Vatanawood, and S. Pomsiri, “Scalable timed-automata models for traffic light control systems: Challenges and solutions in formal verification,” IEEE Access, vol. 12, pp. 124260–124281, 2024, doi: 10.1109/ACCESS.2024.3455097.
10. J. Zhang, H. Guo, J. Liu, and Y. Zhang, “Task offloading in vehicular edge computing networks: A load-balancing solution,” IEEE Transactions on Vehicular Technology, vol. 69, no. 2, pp. 2092–2104, 2020, doi: 10.1109/TVT.2019.2959410.
11. M. Noaeen et al., “Reinforcement learning in urban network traffic signal control: A systematic literature review,” Expert Systems with Applications, vol. 199, p. 116830, 2022, doi: 10.1016/j.eswa.2022.116830.
12. D. Bhattacharyya, T. H. Kim, and S. Pal, “A comparative study of wireless sensor networks and their routing protocols,” Dec. 2010, doi: 10.3390/s101210506.
13. M. S. Farooq and S. Kanwal, “Traffic road congestion system using the Internet of Vehicles (IoV),” 2017.
14. S. Damadam, M. Zourbakhsh, R. Javidan, and A. Faroughi, “An intelligent IoT-based traffic light management system: Deep reinforcement learning,” Smart Cities, vol. 5, no. 4, pp. 1293–1311, 2022, doi: 10.3390/smartcities5040066.
15. M. Q. Kheder and A. A. Mohammed, “Real-time traffic monitoring system using IoT-aided robotics and deep learning techniques,” Kuwait Journal of Science, vol. 51, no. 1, Jan. 2024, doi: 10.1016/j.kjs.2023.10.017.
16. A. Jaleel, M. A. Hassan, T. Mahmood, M. U. Ghani, and A. Ur Rehman, “Reducing congestion in an intelligent traffic system with collaborative and adaptive signaling on the edge,” IEEE Access, vol. 8, pp. 205396–205410, 2020, doi: 10.1109/ACCESS.2020.3037348.
17. Q. Wu, J. Wu, J. Shen, B. Yong, and Q. Zhou, “An edge-based multi-agent auto communication method for traffic light control,” Sensors, vol. 20, no. 15, pp. 1–16, Aug. 2020, doi: 10.3390/s20154291.
18. O. A. Ajayi, I. O. Bagula, and N. A. Olasupo, “Effective management of delays at road intersections using smart traffic light system,” in e-Infrastructure and e-Services for Developing Countries, R. Zitouni and P. M. H. S. Agueh, Eds. Cham, Switzerland: Springer, 2020, pp. 84–103.
19. S. Dhingra, R. B. Madda, R. Patan, P. Jiao, K. Barri, and A. H. Alavi, “Internet of Things-based fog and cloud computing technology for smart traffic monitoring,” Internet of Things, vol. 14, Jun. 2021, doi: 10.1016/j.iot.2020.100175.
20. M. G. Raj, “Implementation on IoT-based traffic management system for emergency vehicles,” International Journal for Science Technology and Engineering, vol. 11, no. 5, pp. 837–845, 2023, doi: 10.22214/ijraset.2023.51614.
21. K. Stoilova and T. Stoilov, “Optimization models for urban traffic management,” WSEAS Transactions on Systems and Control, vol. 18, pp. 187–194, 2023, doi: 10.37394/23203.2023.18.19.
22. Transportation Research Board, Highway Capacity Manual, 6th ed. Washington, DC, USA: The National Academies Press, 2016, doi: 10.17226/24798.
23. R. Roess and W. McShane, “Traffic engineering,” in Traffic Engineering, 4th ed. Pearson, 2010, ch. 12.
24. P. Thakre, P. Bhalerao, A. Dongre, L. Bendey, I. Jaiswal, and C. Anikhindi, “Design and implementation of a dynamic traffic signal system with digital circuit and IoT integration for efficient traffic management,” pp. 1–7, 2023, doi: 10.1109/ICCCNT56998.2023.10306612.
25. Y. Zheng, J. Luo, H. Gao, Y. Zhou, and K. Li, “Pri-DDQN: Learning adaptive traffic signal control strategy through a hybrid agent,” Complex and Intelligent Systems, vol. 11, no. 1, Jan. 2025, doi: 10.1007/s40747-024-01651-5.