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INTELLIGENT TRAFFIC INFORMATION SYSTEMS BASED ON FEATURE OF TRAFFIC FLOW

机译:基于交通流特征的智能交通信息系统

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摘要

Traffic congestion, which is awfully blocked the development of Chinese national economy, is increasingly severe in many Chinese cities. Intelligent traffic information system is a effective method to relax the press of congestion and equilibrate dynamical distribution of area traffic flow by means of broadcasting road information. Feature analytical method based on empirical data is taken into account and used in research the up-growth and development of congestion from the mechanism of movement of urban traffic flow. Traffic system is divided into several road granules with multi-scales of spatio-temporal dimension. The features of patterns of traffic state are abstracted. The phases' structure of traffic flow and threshold of phase boundary are determined statistically. The state of traffic system is identified as free flow, congestion or traffic jam so that prediction and pre-warrant of congestion or traffic jam are made. Finally, the software of intelligent traffic information system with distributed architecture is developed and a test project is founded in urban expressway in Guangzhou.
机译:交通拥堵,这是非常阻止中国国民经济的发展,在许多中国城市都越来越严峻。智能交通信息系统是通过广播道路信息放宽压力和平衡区域交通流量的动态分布的有效方法。考虑了基于经验数据的特征分析方法,并用于研究城市交通流动机制拥堵的上升和发展。交通系统分为几条公路颗粒,具有多尺寸的时空尺寸。抽象的交通状态模式的特征。统计上确定相位边界的交通流量和阈值的阶段结构。交通系统的状态被识别为自由流动,拥塞或交通堵塞,以便制作拥堵或交通堵塞的预测和预测。最后,开发了具有分布式架构的智能交通信息系统软件,并在广州市高速公路上创立了测试项目。

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