Short-Term Urban Rail Passenger Flow Forecasting: A Dynamic Bayesian Network Approach.
Jérémy RoosStéphane BonnevayGérald GavinPublished in: ICMLA (2016)
Keyphrases
- short term
- passenger flow
- long term
- simulation model
- distributed artificial intelligence
- forecasting model
- medium term
- load forecasting
- stock market
- electric load forecasting
- short term and long term
- traffic flow
- long term memory
- motion prediction
- arima model
- intelligent systems
- short and long term
- wind speed
- wind power
- chaotic time series
- computational intelligence
- information technology
- support vector
- logistics demand
- short term prediction
- machine learning