Machine Learning in Urban Traffic Control

prošireni sažetak izlaganja sa skupa

prošireni sažetak izlaganja sa skupa

Machine Learning in Urban Traffic Control

Vrsta prilog sa skupa (u zborniku)
Tip prošireni sažetak izlaganja sa skupa
Godina 2020
Nadređena publikacija Fifth International Workshop on Data Science
Stranice str. 51-54
Status objavljeno

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