交通大数据智能系统工程在道路交通风险主动防控中的应用

Application of Transportation Big Data Intelligent System Engineering in Road Traffic Risk Active Prevention and Control

为了解决道路交通风险防控的闭环管理体系建设问题,建立了交通大数据智能应用系统工程的逻辑框架,阐述了交通大数据融合的模式和方法,运用风险认知、风险评估、风险管理和风险沟通理论构建了道路交通风险主动防控体系,最后应用道路交通风险主动防控体系的主动防控即时风险沟通服务对贵州省高速公路网进行事故预防,结果表明采用主动防控即时风险沟通服务对于减少高速公路事故量具有显著效果。

In order to solve the closed-loop management system construction problem of road traffic risk prevention and control,a logical framework of transportation big data intelligent system engineering was established,the mode and method of transportation big data fusion and governance were expounded,and an active prevention and control system of road traffic risk was constructed based on the theories of risk cognition,risk assessment,risk management and risk communication.Finally,the realtime risk communication service of Active Prevention and Control of Road Traffic Risk was developed and applied to real road risk prevention and control practice throughout the highway network of Guizhou Province,which was proved to have significant effect on reducing the number of highway accidents.