中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2014, Vol. 33 ›› Issue (5): 107-110.DOI: 10.3969/j.issn.1674-0696.2014.05.24

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基于TCP/HTTP的交通拥堵信息分享系统

刘尊民,曲大义,陈秀锋,陈文娇   

  1. 青岛理工大学,汽车与交通学院,山东 青岛 266520
  • 收稿日期:2013-01-11 修回日期:2014-03-16 出版日期:2014-10-15 发布日期:2015-03-10
  • 作者简介:刘尊民(1980—),男,山东莱芜人,讲师,博士研究生,主要从事工业过程控制及ITS技术方面的研究。E-mail:liu_zunmin@163.com。
  • 基金资助:
    国家自然科学基金项目(51178231);智能交通技术交通行业重点实验室开放课题(2013-ITSC-KL-003)

Information Sharing System of Traffic Congestion Based on TCP/HTTP Protocol

Liu Zunmin, Qu Dayi, Chen Xiufeng, Chen Wenjiao   

  1. College of Automobile & Transportation, Qingdao Technological University, Qingdao 266520, Shandong, China
  • Received:2013-01-11 Revised:2014-03-16 Online:2014-10-15 Published:2015-03-10

摘要: 交通拥堵状态识别中原始数据的采集,通常采用浮动车及路测设备,该方法普遍存在较大误差,严重影响各种交通分析模型结果的精度。基于TCP/HTTP的交通拥堵信息分享系统,能够有效融合两种信息资源,通过TCP协议采集模拟浮动车及交通流量客观信息数据,同时通过HTTP协议上传实时交通拥堵状态主观信息数据。该信息分享系统功能涉及交通拥堵状况分享信息采集,模拟浮动车信息采集,交叉口交通流量信息采集,并可实现对智能终端的远程通话调度功能。系统可为交通拥堵分析提供最直观的决策支持。

关键词: 交通工程, 信息分享, 高频数据

Abstract: In the identification of traffic congestion state, the original data acquisition usually adopted the floating car and road test equipment, which usually had large error and seriously affected the accuracy of various traffic analysis models. An information sharing system of traffic congestion based on TCP/HTTP was proposed, which could effectively integrate two kinds of information resources: the objective information data of the simulated floating car and traffic flow was collected by the TCP protocol; meanwhile, the subjective information data of traffic congestion state was uploaded by the HTTP protocol in real-time. The proposed information sharing system included traffic congestion information sharing collection, floating vehicle information collection simulated by intelligent terminal, traffic flow information collection of intersections, which could realize the function of remote calling schedule of the intelligent terminal. The proposed system can provide the most intuitive decision support for traffic congestion analysis.

Key words: traffic engineering, information sharing, high-frequency data

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