Sentence examples for mobility patterns for from inspiring English sources

Several studies [11 13] considered mobility patterns for the purpose of improving the planning or efficiency of the transportation systems.

This paper thus attempts to discover fuzzy personal mobility patterns for helping systems provide personalized service in a wireless network.

Finally, given the dataset we had available, we measured the immediate change in mobility patterns for the whole city of Santiago.

In this paper, we propose an approach, called SMOPAT (Semantic MObility PATterns), for mining spatial-temporal semantic mobility patterns from trajectories of private vehicles.

Controlled mobility is a new concept for telecommunication research field and can be defined as a kind of mobility where mobile devices are introduced in the network and move to specified destinations with defined mobility patterns for specific objectives.

In particular, the paper "A Novel Vehicular Location Prediction Based on Mobility Patterns for Routing in Urban VANETs" (Guangtao Xue, et al)., proposes a novel approach by adopting a variable-order Markov model to abstract vehicular mobility pattern (VMP) from real trace data in Shanghai for predicting the possible trajectories of moving vehicles.

The authors find the best mobility pattern for the base station in order to ensure an even balance of network load on the nodes.

According to Chirwa et al. [14], this article estimates the path-loss using distance between any two capsule devices, d, according to Equation 12. Figure 8 Mobility pattern for multiple capsule networks.

This research contributes to the assessment of the distribution of access to urban parks by children, and can assist planners and policy makers to improve the supply of parks, while accounting for the mobility patterns of children.

The Japanese government used the data for modelling the mobility patterns of people in Tokyo following an earthquake and nuclear accident in 2011.

We processed the traces left by 40,000 Flickr users in the US (about 18 million pictures) in order to obtain mobility flow matrices which represent human flows between pairs of geographical nodes, looking for the collective mobility patterns of two types of human activities at different resolution scales: air travel and daily commuting.