• We design the application framework based on coexistence phenomenon of multi traffic flow data

    广州市为例设计道路交通动态信息采集系统。

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  • Description on multi traffic flows characteristics is the basis for the study on theory of multi traffic flow.

    混合车流基本交通特性描述混合车流理论研究基础

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  • Via computer numerical simulation, the fundamental diagrams of the single-speed lane and multi-speed lane CA traffic flow models are got, and these two models' traffic flow characters are presented.

    通过计算机数值模拟得到单速车道混合车道元胞自动机交通模型基本两种模型交通流特性进行了分析和讨论。

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  • Aiming at the issue about multi-step prediction of the traffic flow chaotic time series, a fast learning algorithm of wavelet neural network (WNN) based on chaotic mechanism is proposed.

    针对交通流量混沌时间序列预测问题,提出了一种基于混沌机理小波神经网络(WNN)快速学习算法

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  • Experiment showed that this algorithm is suitable for the traffic flow optimization under different traffic-loads in a multi-links network.

    实验表明算法适用链路网络各种负载流量优化

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  • The algorithm can not only deduce whether the incident happened, but also the state of the traffic flow. It is a multi-inputs and multi-outputs algorithm.

    本文提出的检测算法不仅能够判断交通事件是否发生而且能够判断事件性质,一种多输入、多输出的检测算法。

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  • The algorithm can not only deduce whether the incident happened, but also the state of the traffic flow. It is a multi-inputs and multi-outputs algorithm.

    本文提出的检测算法不仅能够判断交通事件是否发生而且能够判断事件性质,一种多输入、多输出的检测算法。

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