The Day-Ahead Forecasting of the Passenger Occupancy in Public Transportation by Using Machine Learning.
Atilla AltintasLars DavidsonGiannis KostarasMaycel IsaacPublished in: INTSYS (2021)
Keyphrases
- end users
- public transport
- public transportation
- machine learning
- short term
- long term
- strategic planning
- wind power
- travel time
- market clearing
- stochastic programming
- service quality
- forecasting model
- case study
- particle swarm optimization
- data mining
- computer vision
- cost function
- scheduling problem
- power generation
- information systems