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Matthew Juckes

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

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Scholarly Papers (1)

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Experimental evaluation of multi-agent reinforcement learning for corridor-level traffic signal control

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Experimental evaluation of multi-agent reinforcement learning for corridor-level traffic signal control

Number of pages: 32 Posted: 29 May 2026
Roshan L. Kini, Alex Vlachokostas, Salman Shuvo, Sayak Mukherjee, Samrat Chaterjee, Nawaf Nazir, Sonja Glavaski, Andrew Valdez, Sakshat Katyarmal, Ning Yang, Dave Miller, Geline Canayon, Matthew Juckes and Raimundo Rodulfo
Pacific Northwest National Laboratory, Government of the United States of America - Pacific Northwest National Laboratory, Pacific Northwest National Laboratory, Pacific Northwest National Laboratory, Pacific Northwest National Laboratory, Government of the United States of America - Pacific Northwest National Laboratory, Pacific Northwest National Laboratory, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
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Abstract:

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hardware-in-the-loop, roadside unit, traffic signal controller, digital twin, traffic delay