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云计算在智能交通中的应用

     

摘要

With the rapid growth of vehicles, traffic congestion is becoming more and more serious. Traffic behavior becomes complicated and varied, and traffic safety issues are becoming outstanding, and the prediction accuracy of traffic flow declined. In order to provide efficient real-time traffic information and provide effective traffic control measures for the traffic management department, we have to improve traffic information collection, processing, analysis, storage and distribution functions of intelligent transportation system(ITS).Cloud computing has distributed storage, super-computing power, information fusion sharing etc. features. To build an intelligent transportation cloud platform with these advantages of cloud computing can optimize the entire process from acquisition to publication. The most significance of the ITS cloud platform is to improve the timeliness and accuracy of the traffic information. Cloud computing technology has been applied to GPS-based floating car, short-term traffic flow forecasting, optimal route guidance, traffic signal control and so on. Cloud computing plays a positive role in promoting the development of integrated transport.%随着汽车数量的迅速增长,交通拥堵日益严重。交通参与者的交通行为变得繁杂多变,交通安全问题突出,交通流预测的准确度下降。为了给用户提供时时高效的交通信息,同时为交通管理部门提供有效的交通管制措施,必须完善智能交通系统的信息采集、处理、分析、存储和发布等功能。云计算具有分布式存储、超强计算能力、信息融合共享等优点,利用云计算的这些优点,构建智能交通系统云平台,实现交通信息从采集到发布全过程的优化,最显著的是提高了交通信息的时效性和准确性。云计算已经在基于 GPS 的浮动车技术、短时交通流预测、最优路径诱导和交通信号控制等智能交通的各个领域得到应用,并且对综合交通的发展起到了积极的推动作用。

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