Open Access
| Issue |
EPJ Web Conf.
Volume 305, 2024
6th International Conference on Applications of Optics and Photonics (AOP2024)
|
|
|---|---|---|
| Article Number | 00030 | |
| Number of page(s) | 6 | |
| DOI | https://doi.org/10.1051/epjconf/202430500030 | |
| Published online | 23 October 2024 | |
- E. Uhlemann, “Introducing connected vehicles [Connected vehicles],” IEEE Vehicular Technology Magazine, vol. 10, no. 1. Institute of Electrical and Electronics Engineers Inc., Mar. 01, 2015. doi: 10.1109/MVT.2015.2390920. [Google Scholar]
- N. Lu, N. Cheng, N. Zhang, X. Shen, and J. W. Mark, “Connected vehicles: Solutions and challenges,” IEEE Internet of Things Journal, vol. 1, no. 4. Institute of Electrical and Electronics Engineers Inc., pp. 289–299, Aug. 01, 2014. doi: 10.1109/JIOT.2014.2327587. [CrossRef] [Google Scholar]
- M. M. Rana and K. Hossain, “Connected and Autonomous Vehicles and Infrastructures: A Literature Review,” International Journal of Pavement Research and Technology, vol. 16, no. 2. Springer, pp. 264–284, Mar. 01, 2023. doi: 10.1007/s42947-021-00130-1. [CrossRef] [Google Scholar]
- D. O’Brien,; H. Le Minh, L. Zeng, G. Faulkner, K. Lee, D. Jung, Y. Oh, E. T. Won, E.T. Indoor Visible Light Communications: Challenges and prospects. In Free-Space Laser Communications VIII, Proceedings of the Optical Engineering + Applications, San Diego, CA, USA, 10–14 August 2008; SPIE: Bellingham, WA, USA, 2008; Volume 7091, pp. 60–68. [Google Scholar]
- D. Liu, L. Li, A traffic light control method based on multi-agent deep reinforcement learning algorithm. Sci. Rep. 2023, 13, 9396. [CrossRef] [Google Scholar]
- R. Fernandes, M. A. Vieira, M. Vieira, P. Vieira, P. Louro, and M. Véstias, “Using visible light communication to implement intelligent traffic signals and cooperative trajectories at urban intersections,” in Light-Emitting Devices, Materials, and Applications XXVII, J. K. Kim, M. R. Krames, and M. Strassburg, Eds., SPIE, 2023, p. 124410G. doi: 10.1117/12.2647862. [Google Scholar]
- M. A. Vieira, M. Vieira, P. Vieira, R. Fernandes, and P. Louro, “Dynamic vehicular visible light communication for traffic management,” in NextGeneration Optical Communication: Components, Sub-Systems, and Systems XII, G. Li, K. Nakajima, and A. K. Srivastava, Eds., SPIE, 2023, p. 124290O. doi: 10.1117/12.2647866. [Google Scholar]
- M. A. Vieira, M. Vieira, P. Louro, P. Vieira, and A. Fantoni, “Vehicular Visible Light Communication for Intersection Management,” Signals, vol. 4, no. 2, pp. 457–477, 2023, doi: 10.3390/signals4020024. [CrossRef] [Google Scholar]
- G. Galvão, M. Vieira, P. Louro, M. Vieira, M. Véstias, and P. Vieira, “Visible Light Communication at Urban Intersections to Improve Traffic Signaling and Cooperative Trajectories,” Apr. 2023, pp. 60–65. doi: 10.1109/YEFECE58420.2023.10209320. [Google Scholar]
- A. Vidali, L. Crociani, G. Vizzari, and S. Bandini, “A Deep Reinforcement Learning Approach to Adaptive Traffic Lights Management.” [Online]. Available: https://population.un.org/wup/ [Google Scholar]
- G. Galvão, M. A. Vieira, M. Vieira, P. Vieira, P. Louro, M. Vestias, P. Lourenço, “Traffic signals and cooperative trajectories at urban intersections: leveraging visible light communication for implementation,” Proc. SPIE 12906, LightEmitting Devices, Materials, and Applications XXVIII, 129060O (13 March 2024); doi: 10.1117/12.3000529 [Google Scholar]
- A. Tigga, L. Hota, S. Patel, and A. Kumar, “A Deep Q-Learning-Based Adaptive Traffic Light Control System for Urban Safety,” in Proceedings 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022, Institute of Electrical and Electronics Engineers Inc., 2022, pp. 2430–2435. doi: 10.1109/ICAC3N56670.2022.10074123. [Google Scholar]
- M. A. Vieira, G. Galvão, M. Vieira, M. Véstias, P. Vieira, and P. Louro, “Traffic Signaling and Cooperative Trajectories based on Visible Light Communication,” Sensors and Electronic Instrumentation Advances, p. 23, 2023. [Google Scholar]
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