Establishing the integrated science of movement: bringing together concepts and methods from animal and human movement analysis
Movement analysis has become an integral part of many disciplines, yet with relatively little
overlap. A foresight paper in this journal entitled “Towards an integrated science of …
overlap. A foresight paper in this journal entitled “Towards an integrated science of …
DeepTrip: A deep learning model for the individual next trip prediction with arbitrary prediction times
P Zhang, HN Koutsopoulos, Z Ma - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The increasing availability of travel trajectory data allows for a better understanding of travel
behavior. In the individual mobility analysis, the problem of next trip prediction assumes a …
behavior. In the individual mobility analysis, the problem of next trip prediction assumes a …
On estimating the predictability of human mobility: the role of routine
D do Couto Teixeira, JM Almeida, AC Viana - EPJ Data Science, 2021 - epjds.epj.org
Given the difficulties in predicting human behavior, one may wish to establish bounds on our
ability to accurately perform such predictions. In the case of mobility-related behavior, there …
ability to accurately perform such predictions. In the case of mobility-related behavior, there …
The impact of human mobility data scales and processing on movement predictability
Predictability of human movement is a theoretical upper bound for the accuracy of
movement prediction models, which serves as a reference value showing how regular a …
movement prediction models, which serves as a reference value showing how regular a …
20 Years of mobility modeling & prediction: Trends, shortcomings & perspectives
V Kulkarni, B Garbinato - Proceedings of the 27th ACM SIGSPATIAL …, 2019 - dl.acm.org
In this paper, we present the insights drawn from a comprehensive survey of human-mobility
modeling research based on 1680 articles that can serve as a roadmap for research and …
modeling research based on 1680 articles that can serve as a roadmap for research and …
A mobility-aware service function chain migration strategy based on deep reinforcement learning
H Hu, W Zhang, L Xu, P Qi - Journal of Network and Systems Management, 2023 - Springer
With the development of network function virtualization (NFV) and mobile edge computing
(MEC), service function chaining (SFC) can be deployed more flexibly on the network edge …
(MEC), service function chaining (SFC) can be deployed more flexibly on the network edge …
Deciphering predictability limits in human mobility
Human mobility has been studied from different perspectives. One approach addresses
predictability, deriving theoretical limits on the accuracy that any prediction model can …
predictability, deriving theoretical limits on the accuracy that any prediction model can …
Predictivity of tourism demand data
As tourism researchers continue to search for solutions to determine the best possible
forecasting performance, it is important to understand the maximum predictivity achieved by …
forecasting performance, it is important to understand the maximum predictivity achieved by …
The impact of stationarity, regularity, and context on the predictability of individual human mobility
DDC Teixeira, AC Viana, JM Almeida… - ACM Transactions on …, 2021 - dl.acm.org
Predicting mobility-related behavior is an important yet challenging task. On the one hand,
factors such as one's routine or preferences for a few favorite locations may help in …
factors such as one's routine or preferences for a few favorite locations may help in …
RSSGM: Recurrent self-similar Gauss–Markov mobility model
Understanding node mobility is critical for the proper simulation of mobile devices in a
wireless network. However, current mobility models often do not reflect the realistic …
wireless network. However, current mobility models often do not reflect the realistic …