Distributed predictive cruise control based on reinforcement learning and validation on microscopic traffic simulation
This study proposes a novel distributed predictive cruise control (PCC) algorithm based on reinforcement learning. The algorithm aims at reducing idle time and maintaining an adjustable speed depending on the traffic signals. The effectiveness of the proposed approach has been validated through Para...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-05-01
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| Series: | IET Intelligent Transport Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/iet-its.2019.0404 |