Projects
Title
Systém pro predikce vývoje dynamiky dopravnı́ch proudů založené na hluboké neuronové síti
Code
CK01000139
Summary
The aim of the project is to create a SW module for predicting of traffic flow dynamics based on
machine learning, deep neural network. The result will be prediction of traffic flow behavior for
different types of roads and time intervals based on all available inputs, (including weight
determination of specific inputs) and a comprehensive database of historical data. One of the key
inputs (and at the same time the least explored) is the weather impact analysis, which the project
will deal with at the level of analysis of meteorological models and their usability for prediction
neural network. The result of the project will form the basis of a future AI comprehensively
predicting the behavior of the transport system within non-limited but also limited throughput
capacity
Start year
2020
End year
2023
Provider
Technologická agentura
Category
Obecná forma
Type
Doprava 2020+ (od r. 2020)
Solver
Information system of research, development and innovation (in Czech)
