【摘要】 城市道路交通流实时预测是未来城市智能交通系统的重要支撑,近年来受到较多的关注。文中结合国内城市交通状况,分析了城市道路交通流实时预测系统的系统需求,包括功能需求和性能需求,在此基础上提出了系统的逻辑结构和物理结构。逻辑结构主要包括基础数据层、数据处理计算层以及应用层,提出了物理结构中的4个核心功能服务器:数据库服务器、计算服务器、GIS服务器和Web应用服务器。提出了系统的主要功能和4个主要功能模块,研究了系统的数据流过程,给出了系统实施的技术方案。经过实施检验,所提系统结构与技术方案具有良好的可行性。更多还原

【Abstract】 As an important part of urban intelligent traffic management system,short-term traffic prediction has received special attention in the past decades.Based on the demand analysis of traffic prediction system,including function and performance demand,the logic and physical system architecture are presented.The logic system architecture mainly includes three layers,which are basic data layer,data process,and compute layer and application layer.Four main key function servers are introduced,including database server,computation server,GIS server and Web application server.Then,the main functions,four main function modules and data flow of the proposed traffic prediction system are analyzed.Finally,the implementation technique is proposed.The deployment of the system in Beijing indicates that the architecture and implementation technique of the proposed system are feasible.更多还原