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.
2026
Intelligent Vehicles
9789819548743
9789819548750
5G-V2X; Dedicated Autonomous Lanes; Human Factors in Automation; Human–Machine Interaction (HMI); Intelligent transport systems (ITS); Intelligent Transportation Infrastructure; Mobility System Design; Urban Autonomy; Vehicle–Road–Cloud–Human (VRCH) Architecture;
5G-V2X; Dedicated Autonomous Lanes; Human Factors in Automation; Human–Machine Interaction (HMI); Intelligent transport systems (ITS); Intelligent Transportation Infrastructure; Mobility System Design; Urban Autonomy; Vehicle–Road–Cloud–Human (VRCH) Architecture
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1303387
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