摘要
出行时空分布是小区出行总量随出行时间变化的分布形式,可应用于重力模型的标定.现有重力模型标定较常用逐步搜索法,其精度受限于算法中参数步长的选择.建立了一种基于出行时空分布的重力模型标定方法,并以西安市出行数据为例,通过与逐步搜索法结果对比,验证了该方法的可行性,结果显示该方法较逐步搜索法精度高,收敛速度更快.
The trip time-space distribution is the distribution form of the total amount of travel in a residential area varying with travel time,which can be applied to the calibration of gravity model.A gravity model calibration method based on travel time-space distribution was established.Taking Xi'an travel data as an example,the feasibility of the method was verified by comparing with the results of step-by-step search method.The results show that the method has higher precision and faster convergence speed than the step-by-step search method.
作者
朱亮
王元庆
周荣
ZHU Liang;WANG Yuanqing;ZHOU Rong(School of Highway,Chang’an University,Xi’an 710064,China)
出处
《武汉理工大学学报（交通科学与工程版）》
2019年第1期108-112,共5页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
基金
国家自然科学基金面上项目资助(51878062)
关键词
出行时空分布
重力模型
逐步搜索法
分布预测
travel time space distribution
gravity model
step-by-step search method
distribution prediction
