广州智慧公交云脑平台的研究与实践

Research and Practice of Intelligent Public Transport Cloud-Brain Platform in Guangzhou

针对传统城市公共交通不同系统之间联动性不强,公共交通数据海量、分散、多源、异构等实际现状,文章提出了城市智慧公交云脑平台架构的设计方案以及功能模块的建设内容。通过整合广州市公共交通数据资源,构建智慧公交云脑平台,加强了城市公共交通各系统间信息耦合,实现了车辆、客流实时动态跟踪监控和交通信息精确快速的分析研判,也为公众提供了更有利的出行方案。公交云脑平台的落地应用将极大的提升用户体验,更好地推动公共交通生态系统向前发展。

Facing the weak linkage among different traditional urban public transport systems and many practical problems in public transport data(such as mass, scattered, multi-source and heterogeneous). This paper puts forward the design scheme of the intelligent public transport cloud-brain platform architecture and the construction of functional modules. By integrating Guangzhou’s public transport data resources and building intelligent public transport cloud-brain platform. This cloud-brain platform strengthens the information coupling among urban public transport subsystems, real-time dynamic tracking monitoring of vehicle and passenger flow, accurate and rapid analysis of traffic information , and also provides a more favorable travel plan for the public. The application of public transport cloud-brain platform will greatly enhance user experience and promote the development of public transport ecosystem.