Sentence examples for mobility trajectories from inspiring English sources

The distribution shows that most two-week mobility trajectories have between 101 and 103 data points.

Even though individual mobility trajectories can be noisy, their aggregation is representative of collective mobility patterns at different resolution scales.

This observation is due to the inherent relationship between the magnitude of mobility trajectories and their financial or energy costs.

Given the highly stationary nature of most human mobility trajectories, we expect this simple strategy to achieve relatively high accuracy.

However, when multiple mobility trajectories are pooled and analyzed as a whole, it turns out it is possible to produce reliable travel time estimates.

Our objective is to investigate the influences of accumulated mobility trajectories (i.e. visitation frequencies) and recent mobility context (i.e. recency) to human traveling behavior.

Figure 3 A schematic representation of one user's mobility trajectory and the resulting inter-observation times.

On the left, the mobility trajectory of one person is visualized both as a spatial representation (top) and as a timeline (bottom).

Therefore, a single CDR-based mobility trajectory is typically very sparse in time, and cannot directly be used for estimating travel times between locations.

However, as the nodes near the sink or relay nodes always changed over time, the energy imbalance is only mitigated and how to plan the optimal mobility trajectory is very difficult.

Figure 6 plots the available bandwidth of different wireless access networks during the client mobility along mobile trajectory 3. It can be observed that the available bandwidth of both WLAN and WiMAX experiences fluctuations due to the injected background traffic and client mobility.