Author:
Aloui Ameni,Hachicha Hela,Zagrouba Ezzeddine
Reference29 articles.
1. Chen, B., Cheng, H.H., Palen, J.: Integrating mobile agent technology with multi-agent systems for distributed traffic detection and management systems. Transp. Res. Part C: Emerg. Technol. 17(1), 1–10 (2009). ISSN 0968-090X, https://doi.org/10.1016/j.trc.2008.04.003
2. Manvi, S.S., Kakkasageri, M.S., Pitt, J., Rathmell, A.: Multi-agent systems as a platform for VANETs. In: Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Hakodate, Japan, pp. 35–42 (2006)
3. Gueriau, M., Armetta, F., Hassas, S., Billot, R., El Faouzi, N.E.: A constructivist approach for a self-adaptive decision-making system: application to road traffic control. In: 28th IEEE International Conference on Tools with Artificial Intelligence, pp. 670–677 (2016)
4. Liang, X., Du, X., Wang, G., Han, Z.: A deep reinforcement learning network for traffic light cycle control. IEEE Trans. Veh. Technol. 68(2), 1243–1253 (2019)
5. Lin, K., Zhao, R., Xu, Z., Zhou, J.: Efficient large-scale fleet management via multi-agent deep reinforcement learning. In: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery Data Mining (KDD), pp. 1774–1783. New York, NY, USA (2018). https://doi.org/10.1145/3219819.3219993