Understanding the marginal distributions and correlations of link travel speeds in road networks

被引：5

作者：

Guo, Feng ^{[1
]}

Gu, Xin ^{[1
]}

Guo, Zhaoxia ^{[1
]}

Dong, Yucheng ^{[1
]}

Wallace, Stein W. ^{[1
,2
]}

机构：

[1] Sichuan Univ, Sch Business, Chengdu 610065, Peoples R China

[2] NHH Norwegian Sch Econ, Bergen, Norway

来源：

SCIENTIFIC REPORTS | 2020年 / 10卷 / 01期

基金：

中国国家自然科学基金;

关键词：

MODEL;

D O I：

10.1038/s41598-020-68810-9

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Link travel speeds in road networks are essential data for a variety of research problems in logistics, transportation, and traffic management. Real-world link travel speeds are stochastic, and highly dependent on speeds in previous time periods and neighboring road links. To understand how link travel speeds vary over space and time, we uncover their distributions, their space- and/or time-dependent correlations, as well as partial correlations, based on link travel speed datasets from an urban road network and a freeway network. We find that more than 90% (57%) of travel speeds are normally distributed in the urban road (freeway) network, and that correlations generally decrease with increased distance in time and space. We also investigate if and how different types of road links affect marginal distributions and correlations. The results show that different road link types produce quite similar marginal distributions and correlations. Finally, we study marginal distributions and correlations in a freeway network. Except that the marginal distribution and time correlation are different from the urban road network, others are similar.

引用

页数：8