Prasad, Amritha G and S, Jeyavardhini and Panda, Sonal and P, Hashveen S and Shalini, T. Grace (2025) Episodes-Based Traffic Signal Control: A Deep Reinforcement Learning Approach With Fluid-Dynamic Simulation. In: Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part I.
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Abstract
Traffic congestion remains a critical issue in urban traffic networks, leading to increased fuel usage, emissions, and frustration among commuters. This project suggests an AI- driven traffic optimization using the integration of Reinforcement Learning (RL) and fluid-based traffic flow simulation. T
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 20:17 |
| Last Modified: | 16 Apr 2026 15:58 |
| URI: | http://eprints.eai.eu/id/eprint/60073 |
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