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Found 4 papers, 0 papers with code
Antifragile Perimeter Control: Anticipating and Gaining from Disruptions with Reinforcement Learning
While previous research works have dedicated efforts to improving the robustness or resilience of transportation systems against disruptions, this paper applies the cutting-edge concept of antifragility to better design a traffic control strategy for urban road networks.
The Fragile Nature of Road Transportation Systems
The continuous increase in traffic demand presents a substantial challenge to the optimal operation of urban road networks and the efficiency of traffic control strategies.
Variable Selection in Maximum Mean Discrepancy for Interpretable Distribution Comparison
For this optimisation, we introduce sparse regularisation and propose two methods for dealing with the issue of selecting an appropriate regularisation parameter.
Antifragile Control Systems: The case of an oscillator-based network model of urban road traffic dynamics
In our work, we consider a novel system for road traffic control based on a network of interacting oscillators.
