Reinforcement Learning for Traffic Signal Control: Comparison with Commercial Systems
Author:
Funder
The Alan Turing Institute
EPSRC
Publisher
Elsevier BV
Reference22 articles.
1. Bell, M.C., Bretherton, R.D., 1986. Ageing of fixed-time traffic signal plans, in: International conference on road traffic control.
2. Cabrejas Egea, A., De Ford, P., and Connaughton, C. “Estimating Baseline Travel Times for the UK Strategic Road Network.". In IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC (pp. 531–536).2018.
3. Cabrejas-Egea, A. Connaughton C., 2020. Wavelet Augmented Regression Profiling (WARP): improved long-term estimation of travel time series with recurrent congestion, in: IEEE Conference on Intelligent Transportation Systems.
4. Cabrejas Egea, A., Howell, S., Knutins, M., Connaughton, C. (2020). Assessment of Reward Functions for Reinforcement Learning Traffic Signal Control under Real-World Limitations. In IEEE International Conference on Systems, Man and Cybernetics, Proceedings, SMC.
5. Cabrejas-Egea, A., & Connaughton, C. (2020). Assessment of Reward Functions in Reinforcement Learning for Multi-Modal Urban Traffic Control under Real-World limitations. arXiv preprint arXiv:2010.08819.
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