On short-term traffic flow forecasting and its reliability
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.
Domains
Engineering Sciences [physics] Civil Engineering Environmental Sciences Environmental Engineering Computer Science [cs] Computational Engineering, Finance, and Science [cs.CE] Quantitative Finance [q-fin] Risk Management [q-fin.RM] Computer Science [cs] Data Structures and Algorithms [cs.DS] Statistics [stat] Methodology [stat.ME] Statistics [stat] Machine Learning [stat.ML] Computer Science [cs] Systems and Control [cs.SY] Mathematics [math] Logic [math.LO]
Origin : Files produced by the author(s)