基于多元复合映射的道路交通数字孪生体系探究

fiResearch on a Road Traffic Digital Twin System Based on Multivariate Composite Mapping

在建设数字孪生城市与道路交通的背景下,本文通过分析数字孪生概念及其难点,探讨其背后的双向映射本质,推导出基于多元复合映射的数字孪生理论和体系。结合道路交通领域的专业特点和多元化的数据及引擎需求,提炼出“端边物云座擎”道路交通数字孪生体系,强调通过支持数据及引擎多元化适配的独立数字孪生底座中间层,构建“人车路环境”物理实体与全要素数字模型的双向映射和交互。案例验证表明,该体系可行且有效。

In the context of constructing digital twin cities and road traffic systems,this paper analyzes the concept and challenges of digital twins,exploring the bidirectional mapping essence behind it.A digital twin theory and system based on multivariate composite mapping is derived.Considering the professional characteristics of road traffic and the diversified needs for data and engine integration,a road traffic digital twin system called"endpoint-edge-cloud-IoT-twinbase-engine"is proposed.This system emphasizes building bidirectional mapping and interaction between the physical entities of"human-vehicle-road-environment"and comprehensive digital models through an independent middle layer supporting data and engine adaptation.Case studies confirm that this system is feasible and effective.