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Machine Learning in Urban Traffic Control
Sažetak
The increase of the human population and the availability of vehicles created mega-cities with a significant need for daily mobility. The result is traffic congestion, increased pollution, and decreased life quality. Many research efforts are put into Intelligent Transport Systems (ITS) to cope with these problems. One of the ITS services is traffic control, where the availability of various data (inductive loops, traffic cameras, Bluetooth detectors, mobile phone data) is used as input to improve the Level of Service (LoS) of the urban road network.
Ključne riječi
Intelligent Transport Systems ; Traffic Signal Control ; Machine Learning ; Reinforcement Learning ; Connected and Automated Vehicles ; Variable Speed Limit