AI Model Optimizes High-Density Rail Transit Signals
A new Markov Decision Process model using reinforcement learning significantly reduces wait times and fuel consumption in high-density rail transit.
A new Markov Decision Process model using reinforcement learning significantly reduces wait times and fuel consumption in high-density rail transit.
A study of Beijing mobile phone data shows that social mixing varies sharply by transport mode, with rail producing the ...
A VMD-neural network method identifies heatsink dust blockage in rail traction converters online, using only existing sensors with about 8 ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine