Adaptive Traffic Light Control With Deep Reinforcement Learning: An Evaluation of Traffic Flow and Energy Consumption-Reference-Cited by-同舟云学术

Adaptive Traffic Light Control With Deep Reinforcement Learning: An Evaluation of Traffic Flow and Energy Consumption

Published:2023-12 Issue:12 Volume:24 Page:15066-15076
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Koch Lucas¹^ORCID,Brinkmann Tobias¹^ORCID,Wegener Marius²^ORCID,Badalian Kevin¹^ORCID,Andert Jakob¹^ORCID

Affiliation:

1. Teaching and Research Area Mechatronics in Mobile Propulsion, RWTH Aachen University, Aachen, Germany

2. FEV Europe GmbH, Aachen, Germany

Funder

German Research Foundation and the German Council of Science and Humanities for work partially performed at the Center for Mobile Propulsion

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/10339106/10234696.pdf?arnumber=10234696

Reference40 articles.

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5. An Efficient Adaptive Traffic Light Control System for Urban Road Traffic Congestion Reduction in Smart Cities

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