An Attempt at Duration Analysis Based on a Non-Parametric Kernel Regression Algorithm

机译：基于非参数核回归算法的持续时间尝试

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A non-parametric kernel regression algorithm is developed to analyze duration of traffic information based on traffic information historical data and converted traffic condition value. This non-parametric kernel regression algorithm takes thorough advantage of historical data to analyze the duration of traffic information. Empirical analysis is conducted based on traffic guidance information data from Sept. 1, 2008, to June 30, 2012, released by Beijing variable message signs (VMS) system and converted traffic condition. Empirical analysis shows that there is a gap between predicted and real duration. Limited by current data resources, this work can only be an attempt to analyze duration of traffic information.

机译：开发了一种非参数核回归算法，用于基于交通信息历史数据和转换后的交通状况值来分析交通信息的持续时间。这种非参数核回归算法充分利用历史数据来分析交通信息的持续时间。基于北京市可变信息标志（VMS）系统发布的2008年9月1日至2012年6月30日的交通指导信息数据，并进行了交通状况转换，进行了实证分析。实证分析表明，预测持续时间与实际持续时间之间存在差距。受当前数据资源的限制，这项工作只能是尝试分析交通信息的持续时间。

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《COTA international conference of transportation professionals》|2017年|89-97|共9页
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Lingling Fan;
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non-parametric kernel regression; traffic information; duration analysis; historical data;

机译：非参数核回归;交通信息;持续时间分析;历史数据;

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4. An Attempt at Duration Analysis Based on a Non-Parametric Kernel Regression Algorithm [C] . Lingling Fan COTA international conference of transportation professionals . 2017

机译：基于非参数核回归算法的持续时间分析的尝试
5. Asymptotic properties of Non-parametric Regression with Beta Kernels [D] . Natarajan, Balasubramaniam. 2018

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6. Sequence kernel association analysis of rare variant set based on themarginal regression model for binary traits [O] . Baolin Wu, James S. Pankow, Weihua Guan -1

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7. Finite sample performance of kernel-based regression methods for non-parametric additive models under common bandwidth selection criterion [O] . Carlos Martins-Filho, Ke Yang 2007

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An Attempt at Duration Analysis Based on a Non-Parametric Kernel Regression Algorithm

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