… First, we review existing approaches to short-term traffic flow forecasting methods … traffic
flow seasonality and are shown to represent an interesting compromise between prediction …

… short-term traffic flow forecasting algorithm for an urban signalized transport network. The
application of STM is new to short-term traffic-… for simultaneous modeling of traffic conditions at …

… Its forecasting results are broadly used in traffic control, congestion anticipation and so on. …
of real-time short-term traffic flow prediction [3], short-term traffic flow forecasting has been …

… Accurate short-term traffic flow forecasting has become a crucial step in the overall … forecasting
traffic flows, the aggregation process was carried out so as to create a moving 15-min flow …

… Abstract: Short-term forecast of urban traffic flow is very … traffic forecast’s precision, it is still
hard to achieve high accuracy. In this paper, we propose a short-term traffic flow forecasting …

… traffic flow regime changes, occurring very suddenly, and we show how deep learning
provides precise short term traffic flow … Short-term traffic flow prediction has a long history in the …

… Recent work in [18] compared various forecasting techniques for short term traffic flow
forecasting. The techniques included ARIMA based models, Support Vector Regression (SVR) …

… In this section, we describe the DA approach for vehicle traffic flow forecasting. The traffic
flow data are collected from certain data collection points and are aggregated in 1-h periods, …

… In order to achieve more accurate and robust traffic flow forecasting, we propose a Fuzzy …
accurate or robust prediction of traffic flow over the duration of the prediction period. The FLS …

… Motivated by the success of CNN and LSTM, and with consideration of the spatial-temporal
characteristics of traffic flow, we propose a novel short-term traffic flow prediction method …