Abstract:In the emerging mixed traffic environments, Connected and Autonomous Vehicles (CAVs) have to interact with surrounding human-driven vehicles (HDVs). This paper introduces MSH-MCCT (Multi-Source Human-in-the-Loop Mixed Cloud Control Testbed), a novel CAV testbed that captures complex interactions between various CAVs and HDVs. Utilizing the Mixed Digital Twin concept, which combines Mixed Reality with Digital Twin, MSH-MCCT integrates physical, virtual, and mixed platforms, along with multi-source control inputs. Bridged by the mixed platform, MSH-MCCT allows human drivers and CAV algorithms to operate both physical and virtual vehicles within multiple fields of view. Particularly, this testbed facilitates the coexistence and real-time interaction of physical and virtual CAVs \& HDVs, significantly enhancing the experimental flexibility and scalability. Experiments on vehicle platooning in mixed traffic showcase the potential of MSH-MCCT to conduct CAV testing with multi-source real human drivers in the loop through driving simulators of diverse fidelity. The videos for the experiments are available at our project website: this https URL.
From: Jianghong Dong [view email]
[v1]
Wed, 18 Mar 2026 14:14:58 UTC (14,232 KB)
[v2]
Sat, 21 Mar 2026 13:05:40 UTC (12,549 KB)
[v3]
Wed, 6 May 2026 07:38:23 UTC (12,549 KB)
[v4]
Mon, 18 May 2026 13:24:32 UTC (12,549 KB)
[v5]
Tue, 11 Aug 2026 13:18:47 UTC (12,549 KB)
此内容由惯性聚合(RSS阅读器)自动聚合整理，仅供阅读参考。 原文来自 — 版权归原作者所有。