On short-term traffic flow forecasting and its reliability

2016/02/25 by Hassane Abouaïssa, Michel Fliess, Abouaïssa, Hassane +3
Computer Science · Engineering · Mathematics · Social Sciences · #Applications (stat.AP) #FOS: Computer and information sciences #Other Computer Science (cs.OH) #Traffic Prediction and Management Techniques #Traffic control and management #Transportation Planning and Optimization #cs.OH #stat.AP

paper · pdf · doi:10.48550/arxiv.1602.08355

8th IFAC Conference on Manufacturing Modeling, Management & Control (Troyes, France, June 2016)

arxiv created 2016/02/25 · openalex publication_date 2016/02/25 · arxiv updated 2016/02/29 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29

Abstract

Recent advances in time series, where deterministic and stochastic modelings as well as the storage and analysis of big data are useless, permit a new 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.

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