交通节能与环保2025，Vol.21Issue(2)：80-85,6.DOI:10.3969/j.issn.1673 6478.2025.02.016
基于时空矩阵的出租车OD需求可视化分析与SVD分解
Visualization Analysis of OD Requirements and SVD Decomposition Based on Space and Temporal Matrix
叶文博1
作者信息
- 1. 长安大学长安都柏林国际交通学院,陕西 西安 710064
- 折叠
摘要
Abstract
Based on the GPS data of Xi'an taxi,this paper deeply analyzes the travel demand of passengers and the spatial-temporal distribution of taxis.The study found that the daily morning and evening peak taxi orders increased significantly,and the evening peak order duration significantly extended.The track points are mainly distributed on the main roads in the city,and the demand increases at weekends and expands to the surrounding non-main urban areas and county seats.The singular value decomposition algorithm was used to decompose the spatio-temporal matrix of taxi GPS,and the temporal distribution matrix and spatial distribution matrix were obtained.The relationship between the two matrices revealed the overall demand trend and the difference of travel demand under different spatio-temporal conditions.The results show that mode 1(conventional demand mode)shows the trend of high demand during the day and low demand at night,and mode 2(special demand mode)reflects the high demand in the afternoon and night.关键词
运输规划与管理/出租车OD需求/SVD/数据可视化分析/GPS/时空分布Key words
transportation planning and management/taxi OD requirements/SVD/data visualization analysis/GPS/spatio-temporal distribution分类
交通工程引用本文复制引用
叶文博..基于时空矩阵的出租车OD需求可视化分析与SVD分解[J].交通节能与环保,2025,21(2):80-85,6.
