城市轨道交通车载PIS情景感知服务技术方案研究  

Research on technical solution to context aware services of on-board PIS in urban rail transit

作　　者：汪晓臣 吴卉 孙同庆 黄志威 赵伟慧 WANG Xiaochen;WU Hui;SUN Tongqing;HUANG Zhiwei;ZHAO Weihui(Institute of Computing Technologies,China Academy of Railway Sciences Corporation Limited,Beijing 100081,China)

机构地区：[1]中国铁道科学研究院集团有限公司电子计算技术研究所,北京100081

出　　处：《铁路计算机应用》2020年第11期18-22,共5页Railway Computer Application

基　　金：中国铁道科学研究院集团有限公司课题研发计划(2019YJ125)。

摘　　要：为推进智慧城市轨道交通的发展,车载乘客信息系统(PIS,Passenger Information System)亟需提供更贴合乘客出行需求、能够与运营动态自适应的信息服务。文章在分析车载PIS发展趋势、城市轨道交通乘客服务情景感知信息源的基础上,提出PIS情景感知服务技术方案,采用基于云边端融合的开放架构搭建系统,利用边缘端设备完成乘客服务情景感知信息的采集、传输、分析、调度处理能力,形成伸缩性强、性能更佳的弹性云平台,有助于提升车载PIS的自适应性,为乘客提供更人性化的服务体验。To push forward the development of smart urban rail transit,the on-board PIS is required to offer more suitable information services to meet passengers's ride demand in a way adaptive to the operating status of the urban rail transit.Through analyzing the development tendency of on-board PIS as well as context aware data sources for passenger information services,a technical solution to context aware services of on-board PIS is proposed,in which a open cloud edge fusion architecture is adopted to make use of the processing capability of the edge-side equipment in data collection and analysis as well as scheluding of passenger information services,thus forming a more scalable and flexible cloud with improved performance.This solution can help enhence the adapability of on-board PIS and improve passenger-oriented formation services.

关 键 词：轨道交通 车载乘客信息系统 情景感知 自适应服务 云计算 云边端融合 

分 类 号：U231.92[交通运输工程—道路与铁道工程]