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作 者:崔金魁[1] Cui Jinkui(School of Intelligent Transportation,Nanjing Vocational College of Information Technology,Nanjing 210023,China)
机构地区:[1]南京信息职业技术学院智能交通学院,南京210023
出 处:《信息化研究》2025年第1期6-11,共6页INFORMATIZATION RESEARCH
基 金:2023年度江苏省高职院校“车路协同”智慧交通技术研究开发中心建设项目资助;2023年中国高校产学研创新基金“面向无人机的实时高精度定位性能评价系统研究”项目资助(No.2023BD016)。
摘 要:车路协同系统(CVIS)是集车辆自动化、道路智能化和系统集成化于一体的多维集成系统,是实现车路协同自动驾驶的基础,对未来交通发展有着重要影响。本文首先介绍了我国CVIS的早期发展和演进过程及其相关研究热点,然后详细阐述了CVIS框架体系的C-V2X、路侧感知、高精地图、云控平台等关键技术和典型应用,探讨了这些关键技术面临的问题挑战和发展方向,最后进行了总结展望,以期为从事智能网联车路协同、自动驾驶等相关领域研究的同行提供一些有益的思路和借鉴。Connected Vehicle Infrastructure System(CVIS)is a multidimensional integrated system that integrates vehicle automation,road intelligence and system integration.It is the foundation for achieving vehi-cle-road collaborative autonomous driving and has a significant impact on future transportation development.This article first introduces the early development and evolution process of CVIS in China,as well as its related research hotspots.At the same time,it elaborates on the key technologies and typical applications of the CVIS framework system,such as Cellular-Vehicle to Everything(C-V2X),roadside perception,high-precision map,cloud control platform,etc.It explores the problems,challenges,and development directions faced by these key technologies.Finally,summary and prospect are made,in order to provide some useful ideas and references for colleagues engaged in research in intelligent connected vehicle-road collaboration,autonomous driving and otherrelated fields.
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