Human mobility prediction and unobstructed route planning in public transport networks

S Shang, D Guo, J Liu, K Liu - 2014 IEEE 15th international …, 2014 - ieeexplore.ieee.org
With the increasing availability of human-tracking data (eg, Public transport IC card data,
trajectory data, etc.), human mobility prediction is increasingly important. In this paper, we …

MobTCast: Leveraging auxiliary trajectory forecasting for human mobility prediction

H Xue, F Salim, Y Ren, N Oliver - Advances in Neural …, 2021 - proceedings.neurips.cc
Human mobility prediction is a core functionality in many location-based services and
applications. However, due to the sparsity of mobility data, it is not an easy task to predict …

A bidirectional trajectory prediction model for users in mobile networks

N Bahra, S Pierre - IEEE Access, 2021 - ieeexplore.ieee.org
Future mobile networks are envisioned to have critical limitations in terms of latency, energy
usage, capacity and network resources since these networks are expected to become …

How do you go where? improving next location prediction by learning travel mode information using transformers

Y Hong, H Martin, M Raubal - … of the 30th International Conference on …, 2022 - dl.acm.org
Predicting the next visited location of an individual is a key problem in human mobility
analysis, as it is required for the personalization and optimization of sustainable transport …

Mobility prediction using future knowledge

MH Sun, DM Blough - Proceedings of the 10th ACM Symposium on …, 2007 - dl.acm.org
Anticipating user mobility can be a critical feature for today's mobile systems. We introduce a
novel location predictor which incorporates knowledge of a user's potential future locations …

Mobility prediction based on graphical model learning

H Li, G Ascheid - 2012 IEEE Vehicular Technology Conference …, 2012 - ieeexplore.ieee.org
Existing mobility prediction algorithms focus on predicting the next cell or interesting regions
such as a home zone. But for position-and movement-based optimization of transmission in …

Trip Destination Prediction by Cross-City Exploratory Data Analysis Approach in People Flow Data

R Kojima, R Legaspi, S Wada - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Understanding human mobility is mostly based on destination prediction. The reality that
training and test data frequently differ makes it challenging to broaden the application of …

Revealing an inherently limiting factor in human mobility prediction

L Amichi, AV Carneiro, M Crovella… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Predicting how humans move within space and time is a central topic in many scientific
domains such as epidemic propagation, urban planning, and ride-sharing. However, current …

Robust Location Prediction over Sparse Spatiotemporal Trajectory Data: Flashback to the Right Moment!

B Deng, D Yang, B Qu, B Fankhauser… - ACM Transactions on …, 2023 - dl.acm.org
As a fundamental problem in human mobility modeling, location prediction forecasts a user's
next location based on historical user mobility trajectories. Recurrent neural networks …

[PDF][PDF] Predicting human mobility through the assimilation of social media traces into mobility models

MG Beiró, A Panisson, M Tizzoni, C Cattuto - EPJ Data Science, 2016 - Springer
Predicting human mobility flows at different spatial scales is challenged by the heterogeneity
of individual trajectories and the multi-scale nature of transportation networks. As vast …