Machine Learning in Urban Traffic Control (CROSBI ID 709912)
Prilog sa skupa u zborniku | prošireni sažetak izlaganja sa skupa | međunarodna recenzija
Podaci o odgovornosti
Ivanjko, Edouard ; Gregurić, Martin ; Čakija, Dino ; Kušić, Krešimir ; Miletić, Miletić ; Vrbanić, Filip
engleski
Machine Learning in Urban Traffic Control
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.
Intelligent Transport Systems ; Traffic Signal Control ; Machine Learning ; Reinforcement Learning ; Connected and Automated Vehicles ; Variable Speed Limit
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Podaci o prilogu
51-54.
2020.
objavljeno
Podaci o matičnoj publikaciji
Fifth International Workshop on Data Science
Podaci o skupu
5th International Workshop on Data Science (IWDS 2020)
poster
24.11.2020-24.11.2020
Zagreb, Hrvatska