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EcoMRL: Deep reinforcement learning-based traffic signal control for urban air quality

Author(s): ORCID (Cho Chun Shik Graduate School of Mobility, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea)
ORCID (Cho Chun Shik Graduate School of Mobility, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea)
ORCID (Mechanical Engineering Research Institute, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea)
Medium: journal article
Language(s): English
Published in: International Journal of Sustainable Transportation
Page(s): 1-10
DOI: 10.1080/15568318.2024.2364728
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1080/15568318.2024.2364728.
  • About this
    data sheet
  • Reference-ID
    10789172
  • Published on:
    20/06/2024
  • Last updated on:
    20/06/2024
 
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