Assessment of reward functions for reinforcement learning traffic signal control under real-world limitations A Cabrejas-Egea, S Howell, M Knutins, C Connaughton 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020 | 21 | 2020 |
Reinforcement Learning for Traffic Signal Control: Comparison with Commercial Systems A Cabrejas-Egea, R Zhang, N Walton Transportation Research Procedia 58, 638-645, 2021 | 13 | 2021 |
Design choices for productive, secure, data-intensive research at scale in the cloud D Arenas, J Atkins, C Austin, D Beavan, A Cabrejas-Egea, ... arXiv preprint arXiv:1908.08737, 2019 | 9 | 2019 |
Assessment of Reward Functions in Reinforcement Learning for Multi-Modal Urban Traffic Control under Real-World limitations A Cabrejas-Egea, C Connaughton 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 8 | 2021 |
Estimating baseline travel times for the UK strategic road network A Cabrejas-Egea, P de Ford, C Connaughton 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 6 | 2018 |
How to data in datathons C Mougan, R Plant, C Teng, M Bazzi, A Cabrejas Egea, R Chan, ... Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
Wavelet Augmented Regression Profiling (WARP): improved long-term estimation of travel time series with recurrent congestion A Cabrejas-Egea, C Connaughton 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 1 | 2020 |
New applications of data science for intelligent transportation systems A Cabrejas Egea University of Warwick, 2020 | 1 | 2020 |
Even busier than usual: modelling excess congestion on the Strategic Road Network A Boustati, A Cabrejas-Egea, C Connaughton, P De Ford González, ... | | 2016 |
Estimating Baseline Travel Times A Cabrejas-Egea, P De Ford, C Connaughton | | |