2021
DOI: 10.3390/electronics10243050
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A Traffic-Aware Federated Imitation Learning Framework for Motion Control at Unsignalized Intersections with Internet of Vehicles

Abstract: The wealth of data and the enhanced computation capabilities of Internet of Vehicles (IoV) enable the optimized motion control of vehicles passing through an intersection without traffic lights. However, more intersections and demands for privacy protection pose new challenges to motion control optimization. Federated Learning (FL) can protect privacy via model interaction in IoV, but traditional FL methods hardly deal with the transportation issue. To address the aforementioned issue, this study proposes a Tr… Show more

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Cited by 13 publications
(12 citation statements)
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“…Therefore, T 3 OMVP scheme does not have to adopt the policy decoupling strategy. The following experiments show that, in the T 3 network without using policy decoupling can achieve the same benefits as adopting policy decoupling.…”
Section: Decision-makingmentioning
confidence: 81%
See 4 more Smart Citations
“…Therefore, T 3 OMVP scheme does not have to adopt the policy decoupling strategy. The following experiments show that, in the T 3 network without using policy decoupling can achieve the same benefits as adopting policy decoupling.…”
Section: Decision-makingmentioning
confidence: 81%
“…However, when the observations dimension and the number of actions are different, policy decoupling will make it difficult to assign appropriate actions, resulting in performance degradation even worse than original QMIX on 2v4 scenario. Furthermore, T 3 OMVP weakens the influence of observations dimension and number of actions, since the transformer combined with TT − observations endows the pursuing vehicle with more comprehensive information from all other vehicles, which avoids vehicles from falling into the local optimum situation, thereby, the pursuing efficiency can be improved in more scenarios. The purple line and dark blue line in Figure 5 indicate that VDN+UPDeT performs poorly on the OMVP scenario.…”
Section: Discussionmentioning
confidence: 99%
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