This vision paper presents a prospective architecture for the phased deployment of intelligent and connected vehicle (ICV) systems under mixed traffic conditions. We propose a Vehicle–Road–Cloud–Human (VRCH) integrated architecture to address key technical and socio-technical challenges in autonomous mobility, including edge-case handling, behavioral predictability, and infrastructure compatibility. The architecture reallocates decision-making across distributed roadside infrastructure and cloud services to reduce vehicle-side burden, while ensuringsafety, efficiency and user trust. A phased deployment roadmap for Dedicated Autonomous Lanes (DALs) is introduced, featuring digitally credentialed access, in-transit transition mechanisms (ITTM). Emphasizing human-machine interaction during mode transitions, the framework supports scalable, cost-effective deployment without capital-intensive infrastructure overhaul. Future work includes pilot zone deployment, infrastructure co-design, and scenario-based validation to support the evolution to realize a robust, human-centered intelligent transport systems (ITS) ecosystem.
Dedicated Lanes for Intelligent and Connected Vehicles in Mixed Traffic
Zhao, Huimin;Caruso, Giandomenico
2026-01-01
Abstract
This vision paper presents a prospective architecture for the phased deployment of intelligent and connected vehicle (ICV) systems under mixed traffic conditions. We propose a Vehicle–Road–Cloud–Human (VRCH) integrated architecture to address key technical and socio-technical challenges in autonomous mobility, including edge-case handling, behavioral predictability, and infrastructure compatibility. The architecture reallocates decision-making across distributed roadside infrastructure and cloud services to reduce vehicle-side burden, while ensuringsafety, efficiency and user trust. A phased deployment roadmap for Dedicated Autonomous Lanes (DALs) is introduced, featuring digitally credentialed access, in-transit transition mechanisms (ITTM). Emphasizing human-machine interaction during mode transitions, the framework supports scalable, cost-effective deployment without capital-intensive infrastructure overhaul. Future work includes pilot zone deployment, infrastructure co-design, and scenario-based validation to support the evolution to realize a robust, human-centered intelligent transport systems (ITS) ecosystem.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


