Feb 18, 2017 · Second, this ARIMA model is combined with the Kalman filter to construct a road traffic state prediction algorithm, which can acquire the state, ...
In this paper, a real-time road traffic state prediction based on autoregressive integrated moving average (ARIMA) and the Kalman filter is proposed. First, an ...
Experimental results show that the real-time road traffic state prediction based on ARIMA and the Kalman filter is feasible and can achieve high accuracy.
Experimental results show that the real-time road traffic state prediction based on ARIMA and the Kalman filter is feasible and can achieve high accuracy ...
Real-time road traffic state prediction based on ARIMA and Kalman filter ... Real-time road traffic prediction with spatio-temporal correlations. Transp ...
The invention provides a road traffic flow prediction method based on an ARIMA model and kalman filtering. Firstly, road traffic history data is extracted, ...
This paper proposes a Kalman Filter (KF) technique to predict the short-term flow at urban arterials based on the information of connected and Bluetooth ...
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Aug 30, 2021 · This paper proposes a novel hybrid short-term traffic state prediction method based on critical road selection optimization.
Sep 11, 2024 · Kalman filter has the advantages of real-time, fast, efficient, and ... real time based on the congestion state of the neighboring stations [146].
It proposes a pertinent traffic flow prediction framework based on the traffic factor state network (TFSN) framework by combining model-driven methods with ...