摘要
综述车路协同感知路面技术体系功能框架与物理架构并展望未来发展方向。基于基础设施的基本要求,系统描绘车路协同路面的功能框架,提出行驶安全辅助、导航路径规划、材料结构优化、智能养护决策4个具体功能;根据实现功能的数据类型需求,阐明涵盖状态感知、数据处理、数据传输、数据融合和能量供给等5个组成核心的技术体系架构。研究梳理该技术体系中关键的状态感知和数据分析技术,阐释相关技术原理、性能特点以及存在的问题,提出技术整体发展需求。综合功能框架技术需求,规划现有技术融合升级和新技术方向开辟2种途径,指明车路协同路面的未来发展方向。展望车路协同路面与其他智慧道路技术如无人驾驶路面、自愈合路面、自俘能路面等的有机融合,以实现车路协同路面的使用效能最大化,并助力未来智慧道路基础设施不断发展完善。
This works focuses on the functional framework,technical system,specific technical analysis and future development direction of vehicle-pavement cooperative sensing pavement technology.Based on the basic requirements of infrastructure,the system outlines the functional framework of vehicle-pavement cooperative pavement,proposes four specific functions:driving safety assistance,navigation path planning,material structure optimization,and intelligent maintenance decision-making;according to the data type requirements for achieving the functions,it explains the relevant technical system,including status sensing,data processing,data transmission,data fusion,and energy supply.The most important status perception and data analysis technologies in the technical system are studied and sorted out,the principles,performance characteristics,and existing problems of relevant specific technologies are expounded,and the overall development requirements of the technology are proposed.Based on the technical requirements of the function architecture,two aspects are discussed about:upgrading existing technologies and developing new technological directions,indicating the future development direction of vehicle-pavement cooperative pavement.The study also looks forward to the integration of vehicle-pavement cooperative pavement technology with other intelligent road technologies(such as unmanned driving pavement,self-healing pavement,and self-capture pavement)to maximize the efficiency of vehicle-pavement cooperative pavement use,and to assist the continuous development of future intelligent road infrastructure.
作者
马涛
王仁智
陈丰
宋一涛
李岳
马源
MA Tao;WANG Renzhi;CHEN Feng;SONG Yitao;LI Yue;MA Yuan(School of Transportation,Southeast University,Nanjing 211189,Jiangsu,China)
出处
《山东大学学报（工学版）》
CAS
CSCD
北大核心
2024年第5期1-28,共28页
Journal of Shandong University（Engineering Science）
基金
国家自然科学基金青年基金资助项目(52208430)
江苏省自然科学基金资助项目(BK20210248)。
关键词
道路工程
车路协同
路面状态
传感技术
数据分析方法
road engineering
vehicle-pavement cooperation
pavement condition
sensing technology
data interpretation method
