55 citations · 58 across the 5 of their papers we have counts for
5 papers
How to Data in Datathons
Carlos Mougan, Richard Plant, Clare Teng +7
The rise of datathons, also known as data or data science hackathons, has provided a platform to collaborate, learn, and innovate in a short timeframe. Despite their significant po…
Reinforcement Learning for Traffic Signal Control: Comparison with Commercial Systems
Alvaro Cabrejas-Egea, Raymond Zhang, Neil Walton
Recently, Intelligent Transportation Systems are leveraging the power of increased sensory coverage and computing power to deliver data-intensive solutions achieving higher levels…
Assessment of Reward Functions in Reinforcement Learning for Multi-Modal Urban Traffic Control under Real-World limitations
Alvaro Cabrejas-Egea, Colm Connaughton
Reinforcement Learning is proving a successful tool that can manage urban intersections with a fraction of the effort required to curate traditional traffic controllers. However, l…
Large Transport Gap Modulation in Graphene via Electric Field Controlled Reversible Hydrogenation
Shaorui Li, Jiaheng Li, Yongchao Wang +5
Graphene is of interest in the development of next-generation electronics due to its high electron mobility, flexibility and stability. However, graphene transistors have poor on/o…
Wavelet Augmented Regression Profiling (WARP): improved long-term estimation of travel time series with recurrent congestion
Alvaro Cabrejas Egea, Colm Connaughton
Reliable estimates of typical travel times allow road users to forward plan journeys to minimise travel time, potentially increasing overall system efficiency. On busy highways, ho…