Two-stream multi-channel convolutional neural network for multi-lane traffic speed prediction considering traffic volume impact
Traffic speed prediction is a critically important component of intelligent transportation
systems. Recently, with the rapid development of deep learning and transportation data …
systems. Recently, with the rapid development of deep learning and transportation data …
Adaptive traffic parameter prediction: Effect of number of states and transferability of models
Traffic parameters can show shifts due to factors such as weather, accidents, and driving
characteristics. This study develops a model for predicting traffic speeds under these abrupt …
characteristics. This study develops a model for predicting traffic speeds under these abrupt …
[PDF][PDF] Modeling of spatial variables using neural networks
N Raychev - Nature of Artificial Life, 2020 - academia.edu
The paper examines a modeling of spatial variables using neural networks. The example of
creating a one-dimensional mathematical model of the spatial variable of the geochemical …
creating a one-dimensional mathematical model of the spatial variable of the geochemical …