Mobile Network Travel Behavior Estimation via Trajectory Interpolation

The sector-level location information is segmented into multiple discrete position points along the trajectory. By dividing the movement path between two sector locations into multiple intermediate position segments, the system recovers finer location detail that was lost in the original sector-level data, thereby improving location accuracy without requiring more detailed input data.

The system performs preliminary trajectory estimation and intermediate position calculation before final population migration analysis. By pre-computing the likely path and intermediate positions between sector locations, the system prepares accurate location estimates in advance, which then enables precise population migration measurement without being constrained by the coarse sector-level input data.

The system performs preliminary trajectory estimation using the limited low-frequency event data points that are available. By calculating the likely path and intermediate positions between these sparse measurements, the system recovers continuous location information that would otherwise be lost, thereby achieving high tracking accuracy without requiring frequent data collection.

The system creates a reconstructed trajectory copy that fills in the gaps between low-frequency event data measurements. By generating intermediate position points along the estimated path, the system creates a continuous location record that copies the essential movement information without requiring actual high-frequency measurements, thus maintaining tracking accuracy while keeping time intervals large.