A reinforcement learning based traffic signal control algorithm in a connected vehicle environment
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Date
2017-05
Publication Type
Conference Paper
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yes
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Abstract
The emerging vehicle technologies, i.e. connected vehicle technology and autonomous driving technology, can be beneficial for traffic control and operations. They not only serve as new source of information, but also enable us to control and modify the trajectory of vehicles. Reinforcement learning is widely used to design intelligent control algorithms in various disciplines. This paper provides preliminary results on how the reinforcement learning methods perform in a connected vehicle environment.
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published
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Journal / series
Volume
Pages / Article No.
Publisher
STRC
Event
17th Swiss Transport Research Conference (STRC 2017)
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Reinforcement learning; Traffic signal control; Connected vehicle technology; Automated vehicles
Organisational unit
08686 - Gruppe Strassenverkehrstechnik
02226 - NSL - Netzwerk Stadt und Landschaft / NSL - Network City and Landscape
02655 - Netzwerk Stadt u. Landschaft ARCH u BAUG / Network City and Landscape ARCH and BAUG
Notes
Conference paper only available online