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18 de ago. de 2010 · ANN has been applied widely to prediction of the traffic data. We compared the generalization performance of the different ANN models such as Multi. Layer Perceptron (MLP), Radial Basis Function ...
Abstract: Traffic flow prediction is an essential part of the intelligent transport system. This is the accurate estimation of traffic flow in a given region at a particular interval of time in the future. The study of traffic forecasting is useful in mitigating congestion and make safer and cost-efficient travel.
9 de dic. de 2023 · For the PeMS08 dataset, the LSTSC model based on MAE evaluation index is superior to GWNet in both short-term traffic flow prediction and medium and long-term traffic flow prediction.
19 de may. de 2023 · Traffic flow forecasting, as an integral part of intelligent transportation systems, plays a critical part in traffic planning. Previous studies have primarily focused on short-term traffic flow prediction, paying insufficient attention to long-term prediction. In this study, we propose a hybrid model that utilizes variational mode decomposition (VMD) and the auto-correlation mechanism for ...
13 de may. de 2023 · Timely and accurate large-scale traffic prediction has gained increasing importance for traffic management. However, it is a challenging task due to the high nonlinearity of traffic flow and complex network topology. This study aims to develop a large-scale traffic flow prediction model exploring the interaction of multiple traffic parameters to improve the prediction performance. To achieve ...
7 de mar. de 2019 · In this paper, we mainly demonstrate the superior effect of LSTM+ on short-term traffic flow prediction; thus, we only consider the data for the 5-minute interval. At the same time, to verify the validity and robustness of the model, we collected data from 50 sensors from PEMS and 10 sensors from our data for our study. 5.
3 de sept. de 2020 · How Google Maps selects routes. Our predictive traffic models are also a key part of how Google Maps determines driving routes. If we predict that traffic is likely to become heavy in one direction, we’ll automatically find you a lower-traffic alternative. We also look at a number of other factors, like road quality.
