混合自行车交通流速度分布模型

发布时间：2018-06-15 17:20

本文选题：交通工程 + 混合自行车　；参考：《浙江大学学报(工学版)》2017年06期

【摘要】：针对电动自行车和普通自行车在非机动车道上混合运行的问题,基于实测数据分析混合自行车交通流速度的基本统计特性.通过对多种影响因素的分析,构建基于高斯混合模型(GMM)的速度分布函数,采用期望最大化(EM)算法对模型参数进行最大似然估计.通过Kolmogorov-Smirnov(K-S)拟合优度检验优化,得到高斯混合模型的最佳组成数.分析不同限速阈值对自行车超速特性的影响.结果表明,利用高斯混合模型能够有效地拟合混合自行车速度.利用三元高斯混合模型能够拟合自由流状态下的速度数据;针对多种交通状态下的数据,须采用五元或六元高斯混合模型进行拟合.
[Abstract]:In order to solve the problem of mixed running of electric bicycle and ordinary bicycle in non-motorized lane, the basic statistical characteristics of traffic flow velocity of hybrid bicycle are analyzed based on the measured data. Based on the analysis of many factors, the velocity distribution function based on Gao Si hybrid model is constructed, and the maximum likelihood estimation of the model parameters is carried out by using the expectation maximization (EMM) algorithm. By Kolmogorov-Smirnovus K-S) fitting test, the optimal composition of Gao Si mixed model was obtained. The influence of different speed limit threshold on the speed characteristics of bicycle is analyzed. The results show that the speed of hybrid bicycle can be fitted effectively by using Gao Si hybrid model. The velocity data in free flow state can be fitted by using the ternary Gao Si mixed model, and the five-element or six-element Gao Si mixed model should be used to fit the data under various traffic conditions.
【作者单位】：浙江大学建筑工程学院;浙江警察学院交通管理工程系;吉林大学交通学院;
【分类号】：U491.112

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