Deep Reinforcement Learning Approach for V2X Managed Intersections of Connected Vehicles
Author:
Affiliation:
1. Université de Technologie de Belfort-Montbéliard (UTBM), Laboratoire Connaissance et Intelligence Artificielle Distribuées (CIAD), Belfort cedex, France
Funder
Université de Technologie de Belfort-Montbéliard in the context of the Inter-Universités de Technologie (UT) Project SMART-E2AU
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Mechanical Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/6979/10175858/10074992.pdf?arnumber=10074992
Reference50 articles.
1. A sequenced-based protocol to manage autonomous vehicles at isolated intersections
2. Assessment of traffic conditions at signalized intersections;chodur;Journal of Archives of Transport,2006
3. Deep reinforcement learning: An overview;mousavi;Proc SAI Intell Syst Conf,2016
4. Playing Atari with deep reinforcement learning;mnih;Proc Conf Neural Inf Process Syst,2013
5. Automated Optimization of Intersections Using a Genetic Algorithm
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