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1. 1. Using Deep Reinforcement Learning For Adaptive Traffic Control in Four-Way Intersections

   University essay from Linköpings universitet/Kommunikations- och transportsystem; Linköpings universitet/Tekniska fakulteten

   Author : Gustav Jörneskog; Josef Kandelan; [2019]
   Keywords : Deep Reinforcement Learning; Traffic Control System; Green Wave; SUMO;

   Abstract : The consequences of traffic congestion include increased travel time, fuel consumption, and the number of crashes. Studies suggest that most traffic delays are due to nonrecurring traffic congestion. Adaptive traffic control using real-time data is effective in dealing with nonrecurring traffic congestion. READ MORE