基于数据驱动的高速公路隧道交通安全系统分析与决策方法

A New Analysis and Decision-making Method of Highway Tunnel Traffic Safety System Based on Data Driven

随着自动化和信息化技术的飞速发展,传统的高速隧道交通安全分析与决策模式已无法满足实际需要,同时具备感知能力的智能交通设备及数据采集装置在交通安全领域得以广泛使用,隧道交通安全系统分析与决策过程呈现出明显的大数据特征,因此该文提出一种基于数据驱动的高速隧道交通安全分析与决策模式和该模式下的方法论体系,主要包括交通安全设备数据采集、多维多源异构监测数据预处理及其分析方法,隧道交通安全系统运行的预测方法,动态监测数据多尺度时序分析,监测数据关系网络建模与关联分析,隧道设备运行状态演化规律与预测等关键技术,所提模式将对实现数据驱动的高速交通安全运行具有非常重要的意义。

Withthe rapid development of automation and information technology,the model of traditional highway tunnel traffic safety analysis and decision-making has been unable to meet the actual needs.Meanwhile,intelligent traffic equipment with perception capability and the data acquisition devices with sensing capability are widely used in the field of traffic safety.The analysis of highway tunnel safety system and its process of decision-making show characteristics of big data obviously,so this paper put forward a model about analysis and decision-making of highway tunnels’traffic safety system which based on data driven,the methodology of this model mainly includes data acquisition method,analysis method of preprocessing of heterogeneous data which is multi-dimensional and multi-source,prediction method of tunnels’traffic safety system,the multi-scale timing analysis method of dynamic data,monitoring data network modelling and analysis method,evolution law and prediction of running state of tunnel equipment.The proposed model will be very important for the realization of highway mtraffic safety operation based on data driven.