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Analysis on Key Technologies of Traffic Prediction and Path Guidance in Intelligent Transportation

机译:智能交通交通预测与路径指导关键技术分析

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Traffic flow control and guidance is an important research area of ITS. In order to solve the problem that the static route guidance algorithm can not provide real-time traffic information and optimal route guidance to the travelers, based on the real - time routing algorithm of vehicle dynamic network, this paper presents a traffic control and guidance method based on large data traffic prediction, and analyzes the key technologies in detail. Through the establishment of simulation model, the system can basically achieve the purpose of balanced traffic flow.
机译:交通流量控制和指导是其重要研究领域。为了解决静态路线引导算法无法为旅行者提供实时交通信息和最优路由指导,基于车辆动态网络的实时路由算法,本文提出了流量控制和指导方法基于大数据流量预测,详细分析关键技术。通过建立仿真模型,系统可以基本上达到平衡交通流量的目的。

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