Advancing Smart City Infrastructure with V2X Vehicle-Road Collaboration: Architectural and Algorithmic Innovations

Andreas Andreou, Constandinos X. Mavromoustakis, Houbing Song, Jordi Mongay Batalla

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    Abstract

    Traditional mobile communications, routed through multiple network layers, often face significant delays, unsuitable for the high-speed requirements of Vehicle to Everything (V2X) applications. This chapter introduces an innovative V2X vehicle-road collaborative communication system to bridge this gap. Central to this advancement is a novel architecture, coupled with a dynamic traffic signal control algorithm, designed to enhance traffic flow and reduce urban congestion significantly. The architecture employs a CRUM (connectivity, roadway, user, management) model, which is pivotal in minimizing end-to-end communication delays, especially crucial in urban settings. Additionally, the chapter discusses a vehicle-road collaborative framework for autonomous driving applications, focusing on an efficient networking architecture that ensures operational efficacy. The chapter concludes by addressing essential data quality, security, and privacy considerations, which are vital for the future of smart city infrastructure.

    Original languageEnglish
    Title of host publicationInternet of Things
    PublisherSpringer Science and Business Media Deutschland GmbH
    Pages173-186
    Number of pages14
    DOIs
    Publication statusPublished - 2025

    Publication series

    NameInternet of Things
    VolumePart F4006
    ISSN (Print)2199-1073
    ISSN (Electronic)2199-1081

    Keywords

    • Collaborative communication
    • Smart city infrastructure
    • Traffic flow optimization
    • Vehicle to Everything (V2X)

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