Self-supervised human mobility learning for next location prediction and trajectory classification

F Zhou, Y Dai, Q Gao, P Wang, T Zhong - Knowledge-Based Systems, 2021 - Elsevier
Massive digital mobility data are accumulated nowadays due to the proliferation of location-
based service (LBS), which provides the opportunity of learning knowledge from human …

Understanding the movement predictability of international travelers using a nationwide mobile phone dataset collected in South Korea

Y Xu, D Zou, S Park, Q Li, S Zhou, X Li - Computers, Environment and …, 2022 - Elsevier
The abilities to predict tourist movements are critical to many urban applications, such as
travel recommendations, targeted advertising, and infrastructure planning. Despite its …

[HTML][HTML] Individual mobility prediction review: Data, problem, method and application

Z Ma, P Zhang - Multimodal transportation, 2022 - Elsevier
The 'sharing'business models and on-demand services have been altering city dwellers'
travel habits from buying the means of transport to buying mobility services based on needs …

A destination and mobility path prediction scheme for mobile networks

A Nadembega, A Hafid, T Taleb - IEEE transactions on …, 2014 - ieeexplore.ieee.org
Mobile multimedia services are gaining great momentum among subscribers of mobile
networks (MNs). An understanding of the network traffic behavior is essential in the evolution …

Evaluating next-cell predictors with extensive Wi-Fi mobility data

L Song, D Kotz, R Jain, X He - IEEE transactions on mobile …, 2006 - ieeexplore.ieee.org
Location is an important feature for many applications, and wireless networks may serve
their clients better by anticipating client mobility. As a result, many location predictors have …

A destination prediction model based on historical data, contextual knowledge and spatial conceptual maps

A Nadembega, T Taleb, A Hafid - 2012 IEEE International …, 2012 - ieeexplore.ieee.org
Mobile Wireless Network technology has enabled the development of increasingly diverse
applications and devices resulting in an exponential growth in usage and services. One …

A mobility prediction architecture based on contextual knowledge and spatial conceptual maps

N Samaan, A Karmouch - IEEE transactions on mobile …, 2005 - ieeexplore.ieee.org
User Mobility prediction represents a key component in assisting handoff management,
resource reservation, and service preconfiguration. However, most of the existing …

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 …

Where will you go? mobile data mining for next place prediction

JB Gomes, C Phua, S Krishnaswamy - International conference on data …, 2013 - Springer
The technological advances in smartphones and their widespread use has resulted in the
big volume and varied types of mobile data which we have today. Location prediction …

[引用][C] Deep generative models of urban mobility

Z Lin, M Yin, S Feygin, M Sheehan, JF Paiement… - IEEE Transactions on …, 2017