Fig 1.
Joint clustering and prediction framework.
Table 1.
Joint clustering and prediction.
Table 2.
Selection-based criterion.
Table 3.
Classification into low and high travel time section.
Table 4.
Revised selection-based criterion.
Table 5.
Fusion-based criterion.
Fig 2.
MAPE for maximum error trip over iterations.
Table 6.
Cluster memberships over iterations.
Fig 3.
Measured vs predicted travel times over iterations.
(a) Iteration 0, (b) Iteration 1, (c) Iteration 2, (d) Iteration 3, (e) Iteration 4.
Fig 4.
Measured and predicted travel times over iterations for the study stretch.
(a) Iteration 0, (b) Iteration 1, (c) Iteration 2, (d) Iteration 3, (e) Iteration 4.
Fig 5.
Cluster memberships for the xth iteration.
Table 7.
Descriptive statistics of clusters.
Fig 6.
Variation of cluster memberships.
(a) Low travel time section, (b) High travel time section.
Fig 7.
Proportion of memberships of clusters on each day of the week.
Fig 8.
Measured and predicted travel times for a sample trip (standard selection vs. fusion criterion).
Fig 9.
Measured and predicted travel times for a sample trip (standard selection vs. revised selection criterion).
Fig 10.
MAPE for all trips on a sample day.
Fig 11.
MAPE across sections on a sample day.
Fig 12.
Effect of including prediction as a feature for clustering.
Fig 13.
Absolute error for a sample section over time of the day.
Table 8.
MAPE values across different prediction approach.