On short-term traffic flow forecasting and its reliability

被引：7
|
作者：
Abouaissa, Hassane [1 ]
Fliess, Michel [2 ,4 ]
Join, Cedric [3 ,4 ,5 ]
机构：
[1] Univ Artois, Lab Genie Informat & Automat Artois, EA 3926, LGI2A, F-62400 Bethune, France
[2] Ecole Polytech, LIX, CNRS, UMR 7161, F-91128 Palaiseau, France
[3] Univ Lorraine, CNRS, CRAN, UMR 7039, BP 239, F-54506 Vandoeuvre Les Nancy, France
[4] ALIEN, 24-30 Rue Lionnois,BP 60120, F-54003 Nancy, France
[5] INRIA Lille Nord Europe, Proict Non A, Villeneuve Dascq, France
来源：
IFAC PAPERSONLINE | 2016年 / 49卷 / 12期
关键词：
Road traffic; transportation control; management systems; intelligent knowledge-based systems; time series; forecasts; persistence; risk; volatility; financial engineering;
D O I：
10.1016/j.ifacol.2016.07.559
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Recent advances in time series, where deterministic and stochastic modelings as well as the,storage and analysis of big data are useless, permit a approach to short-term traffic flow forecasting and to its reliability i.e., to the traffic volatility. Several convincing computer simulations, which utilize concrete data, are presented and discussed. (C) 2016, IFAC (Informational rederation of Automatic Control) Hosiing Elsevier Ltd. All rights reserved.
引用
收藏
页码：111 / 116
页数：6
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