Title
Repeatability and Similarity of Freeway Traffic Flow and Long-Term Prediction Under Big Data.
Abstract
In this paper, by splitting a traffic flow series into basis series and deviation series, the concepts of similarity and repeatability of traffic flow patterns are defined using the statistic average values of the basis series and the deviation series and are further verified through the real-time big traffic data of 82 days with a sampling period of 5 min collected from two typical ones among a t...
Year
DOI
Venue
2016
10.1109/TITS.2015.2511156
IEEE Transactions on Intelligent Transportation Systems
Keywords
Field
DocType
Traffic control,Big data,Real-time systems,Data models,Forecasting,Mathematical model,Analytical models
Data modeling,Data mining,Traffic flow,Long-term prediction,Statistic,Simulation,Sampling (signal processing),Engineering,Mathematical model,Traffic congestion,Repeatability
Journal
Volume
Issue
ISSN
17
6
1524-9050
Citations 
PageRank 
References 
8
0.68
4
Authors
2
Name
Order
Citations
PageRank
Zhongsheng Hou187770.65
Xingyi Li2174.19