Nextroute: a lossless model for accurate mobility prediction

H Amirat, N Lagraa, P Fournier-Viger… - Journal of Ambient …, 2020 - Springer
Mobility prediction of vehicles has become a key feature in mobility management in smart
cities, mobile computing environments, intelligent transportation systems, vehicular …

Selecting individual and population models for predicting human mobility

P Baumann, C Koehler, AK Dey… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
A large plethora of models to predict human mobility exists in the literature. The problem of
how to select the most appropriate model to solve a specific mobility prediction task has …

Human mobility prediction based on individual and collective geographical preferences

F Calabrese, G Di Lorenzo… - 13th international IEEE …, 2010 - ieeexplore.ieee.org
Understanding and predicting human mobility is a crucial component of transportation
planning and management. In this paper we propose a new model to predict the location of …

An improved method for mobility prediction using a Markov model and density estimation

L Menz, R Herberth, C Luo, F Gauterin… - 2018 IEEE Wireless …, 2018 - ieeexplore.ieee.org
The prediction of an individual's future locations is a significant part of scientific researches.
While a variety of solutions have been investigated for the prediction of future locations …

Multi-hop mobility prediction

Z Yu, Z Yu, Y Chen - Mobile Networks and Applications, 2016 - Springer
With the occurrence of large-scale human trajectories, which imply spatial and temporal
patterns, the subject of mobility prediction has been widely studied. A number of approaches …

Modeling Individual's Movement Patterns to Infer Next Location from Sparse Trajectory Traces

SK Ghosh, S Ghosh - … on Systems, Man, and Cybernetics (SMC …, 2018 - ieeexplore.ieee.org
Human mobility prediction is a challenging and crucial task for fostering wide spectrum of
location based applications, namely, traffic planning, travel-plan recommendation etc …

Predicting collective human mobility via countering spatiotemporal heterogeneity

Z Zhou, K Yang, Y Liang, B Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Human mobility forecasting is the key to energizing considerable mobile computing
services. However, we find that the collective mobility suffers the spatiotemporal …

Beyond the limits of predictability in human mobility prediction: context-transition predictability

C Zhang, K Zhao, M Chen - IEEE Transactions on Knowledge …, 2022 - ieeexplore.ieee.org
Urban human mobility prediction is forecasting how people move in cities. It is crucial for
many smart city applications including route optimization, preparing for dramatic shifts in …

How long are you staying? Predicting residence time from human mobility traces

P Baumann, W Kleiminger, S Santini - Proceedings of the 19th annual …, 2013 - dl.acm.org
Predicting the arrival and residence time of individuals at their relevant places enables a
plethora of novel applications. In this work we first analyze the theoretical predictability of …

Pedestrians complex behavior understanding and prediction with hybrid markov chain

M Karimzadeh, Z Zhao, F Gerber… - 2018 14th International …, 2018 - ieeexplore.ieee.org
The prevalence of smartphones equipped with global positioning system has enabled
researchers to excavate users mobility patterns in the cities. The knowledge of users' …