Reinforcement Learning-based Traffic Control to Optimize Energy Usage and Throughput (CRADA report)

Thomas Karnowski; Matthew Eicholtz; Wael Elwasif; Regina Ferrell; Thomas Naughton III; Timothy Oesch; Robert Patton; Derek Rose; Ryan Tokola; Steven Young

Reinforcement Learning-based Traffic Control to Optimize Energy Usage and Throughput (CRADA report)

Thomas Karnowski, Matthew Eicholtz, Wael Elwasif, Regina Ferrell, Thomas Naughton III, Timothy Oesch, Robert Patton, Derek Rose, Ryan Tokola, Steven Young

Energy Science and Technology Directorat

Research output: Other contribution › Technical Report

Original language	American English
State	Published - Jul 2019

Cite this

@misc{88d29d84c910401eb0cedb8b3cbfb1f0,

title = "Reinforcement Learning-based Traffic Control to Optimize Energy Usage and Throughput (CRADA report)",

author = "Thomas Karnowski and Matthew Eicholtz and Wael Elwasif and Regina Ferrell and {Naughton III}, Thomas and Timothy Oesch and Robert Patton and Derek Rose and Ryan Tokola and Steven Young",

note = "ORNL/TM-2019/1173 EERE - Vehicle Technologies (VTO) Unclassified, Non Sensitive",

year = "2019",

month = jul,

language = "American English",

type = "Other",

}

TY - GEN

T1 - Reinforcement Learning-based Traffic Control to Optimize Energy Usage and Throughput (CRADA report)

AU - Karnowski, Thomas

AU - Eicholtz, Matthew

AU - Elwasif, Wael

AU - Ferrell, Regina

AU - Naughton III, Thomas

AU - Oesch, Timothy

AU - Patton, Robert

AU - Rose, Derek

AU - Tokola, Ryan

AU - Young, Steven

N1 - ORNL/TM-2019/1173 EERE - Vehicle Technologies (VTO) Unclassified, Non Sensitive

PY - 2019/7

Y1 - 2019/7

M3 - Technical Report

ER -