Deep Reinforcement Learning for the Joint Control of Traffic Light Signaling and Vehicle Speed Advice-Reference-Cited by-同舟云学术

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Deep Reinforcement Learning for the Joint Control of Traffic Light Signaling and Vehicle Speed Advice

Published:2023-12-15 Issue: Volume:10 Page:182-187
ISSN:
Container-title:2023 International Conference on Machine Learning and Applications (ICMLA)
language:
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Author:

Busch Johannes V. S.¹,Voelckner Robert²,Sossalla Peter²,Vielhaus Christian L.²,Calandra Roberto¹,Fitzek Frank H. P.¹

Affiliation:

1. TU,Learning, Adaptive Systems, and Robotics (LASR) Lab,Dresden,Germany

2. TU,Deutsche Telekom Chair of Communication Networks,Dresden,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10459339/10459727/10459838.pdf?arnumber=10459838

Reference28 articles.

1. TRANSYT method for area traffic control;Robertson;Traffic Engineering & Control,1969

2. Optimizing networks of traffic signals in real time-the SCOOT method

3. Physical Layer Evaluation of V2X Communications Technologies: 5G NR-V2X, LTE-V2X, IEEE 802.11bd, and IEEE 802.11p

4. Natural Actor-Critic for Road Traffic Optimisation

5. Using Reinforcement Learning With Partial Vehicle Detection for Intelligent Traffic Signal Control

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