Probabilistic traffic breakdown forecasting through Bayesian approximation using variational LSTMs

D Zechin, HBB Cybis - Transportmetrica B: Transport Dynamics, 2023 - Taylor & Francis
This paper proposes a framework for short-term traffic breakdown probability calculation
using a Variational LSTM neural network model. Considering that traffic breakdown is a …
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Probabilistic traffic breakdown forecasting through Bayesian approximation using variational LSTMs

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Robust artificial intelligence models have been criticized for their lack of uncertainty control
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Probabilistic traffic breakdown forecasting through Bayesian approximation using variational LSTMs

D Zechin - 2023 - lume.ufrgs.br
Robust artificial intelligence models have been criticized for their lack of uncertainty control
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Probabilistic traffic breakdown forecasting through Bayesian approximation using variational LSTMs

D Zechin, HBB Cybis - Transportmetrica B: Transport Dynamics, 2023 - trid.trb.org
This paper proposes a framework for short-term traffic breakdown probability calculation
using a Variational LSTM neural network model. Considering that traffic breakdown is a …