文章编号： 1672-5328（2014）05-0060-05

黄正锋1，任刚2，华璟怡3，陆丽丽2
(1.宁波大学海运学院，浙江宁波315211；2.东南大学交通学院，江苏南京210096；3.公安部交通管理科学研究 所，江苏无锡214151)

摘要： 采取集中式处理技术对大规模公交信息进行处理时，传输与运算耗时长，不利于实现公交信 息实时发布的需求。相比之下，公交车载智能终端可以针对单车信息进行独立感知与挖掘。由此构 建基于分布式处理技术的公交信息感知与挖掘系统框架，包括公交车载智能终端、公交信息服务平 台、公交调度中心三大模块。进而明确系统实施流程，并探讨公交信息挖掘软件的信息映射模型。 由于分布式处理技术下的公交车载智能终端与调度中心可联网共享及交互信息，因此该系统除了实 现公众信息实时发布之外，还能为交通部门的公交优先管制技术提供基础数据支撑。

关键词： 智能公交系统；分布式处理技术；公交信息感知；公交信息挖掘

中图分类号： ：U491

文献标识码：A

Design of a Bus Information Perception and Mining System Based on Distributed Processing Technology

Huang Zhengfeng1, Ren Gang2, Hua Jingyi3, Lu Lili2
(1.Faculty of Maritime and Transportation, Ningbo University, Ningbo Zhejiang 315211, China; 2.School of Transportation, Southeast University, Nanjing Jiangsu 210096, China; 3. Traffic Management Research Institute of the Ministry of Public Security,Wuxi Jiangsu 214151, China)

Abstract： When processing massive bus information with centralized processing technology, the transmission and calculation is time-consuming and undermines the broadcasting of bus information in real time. In contrast, the onboard intelligent terminal can perform independent perception and mining of single-bus information. This paper develops a framework of bus information perception and mining system based on distributed processing technology, which consists of three key modules: bus onboard intelligent terminal, bus information service platform, and bus dispatching center. Meanwhile, the implementation process of the system and information mapping model for the bus information mining software are discussed. Since the onboard intelligent terminal is connected with the dispatching center to share and exchange information through the distributed processing technology, the system can not only realize real- time bus information broadcasting but also provide base data support for bus priority control in other transportation sectors.

Keywords： intelligent public transportation system; distributed processing technology; bus information perception; bus information mining