公路智能交通云平台设计与实现

Design and Implementation of Highway Intelligent Transportation Cloud Platform

鉴于公路交通数据及应用的分散、独立与割裂,本文提出设施连通、数据互通、信息畅通以及人、车、路协同的基本思想,给出基于线性规划NP求最优解的大规模资源调度算法、Hadoop与Spark相整合的大数据融合架构和OpenStack、Magnum、Docker相集成的应用部署框架。经验证,该设计能成功实现公路交通基础设施资源融合、数据融合和应用融合,有效破解公路交通所面临的现实困境。

In view of the dispersion,independence and separation of highway traffic data and applications,the basic ideas of facility connection,data interchange,information unimpeded,and human vehicle road cooperation are proposed.The large-scale resource scheduling algorithm based on linear programming NP to find the optimal solution,the big data fusion architecture integrated by Hadoop and Spark,and the application deployment framework integrated by Openstack,Magnum and Docker are given.It is proved that the design can successfully achieve the integration of road traffic infrastructure resources,data and applications,and effectively solve the practical difficulties faced by road traffic.