
This time series project uses weather and holiday features to predict hourly traffic volume between Minneapolis and St Paul, MN with data from October 2, 2012 till September 30, 2018. Several time series techniques were used to find an appropriate prediction model. The project progresses from data preprocessing, time series decomposition, multiple model development and evaluation using standard metrics.
Machine Learning, Time Series Analysis
Machine Learning, Time Series Analysis
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
