A mobility analytical framework for big mobile data in densely populated area

Y Qiao, Y Cheng, J Yang, J Liu… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Due to the pervasiveness of mobile devices, a vast amount of geolocated data is generated,
which allows us to gain deep insight into human behavior. Among other data sources, the …

Understanding metropolitan crowd mobility via mobile cellular accessing data

H Cao, J Sankaranarayanan, J Feng, Y Li… - ACM Transactions on …, 2019 - dl.acm.org
Understanding crowd mobility in a metropolitan area is extremely valuable for city planners
and decision makers. However, crowd mobility is a relatively new area of research and has …

Understanding urban dynamics from massive mobile traffic data

M Zhang, H Fu, Y Li, S Chen - IEEE Transactions on Big Data, 2017 - ieeexplore.ieee.org
Understanding the patterns of mobile data consumption is extremely valuable to reveal
human activities and ecology in urban areas. This task is nontrivial in terms of three …

Understanding the representativeness of mobile phone location data in characterizing human mobility indicators

S Lu, Z Fang, X Zhang, SL Shaw, L Yin, Z Zhao… - … International Journal of …, 2017 - mdpi.com
The advent of big data has aided understanding of the driving forces of human mobility,
which is beneficial for many fields, such as mobility prediction, urban planning, and traffic …

Exploring human mobility patterns in urban scenarios: A trajectory data perspective

F Xia, J Wang, X Kong, Z Wang, J Li… - IEEE Communications …, 2018 - ieeexplore.ieee.org
Smart cities have been recognized as a promising research focus around the world. To
realize smart cities, computation and utilization of big data are key factors. More specifically …

Understanding aggregate human mobility patterns using passive mobile phone location data: A home-based approach

Y Xu, SL Shaw, Z Zhao, L Yin, Z Fang, Q Li - Transportation, 2015 - Springer
Advancements of information, communication and location-aware technologies have made
collections of various passively generated datasets possible. These datasets provide new …

Exploring human mobility with multi-source data at extremely large metropolitan scales

D Zhang, J Huang, Y Li, F Zhang, C Xu… - Proceedings of the 20th …, 2014 - dl.acm.org
Expanding our knowledge about human mobility is essential for building efficient wireless
protocols and mobile applications. Previous human mobility studies have typically been built …

Predictability and prediction of human mobility based on application-collected location data

H Wang, S Zeng, Y Li, D Jin - IEEE Transactions on Mobile …, 2020 - ieeexplore.ieee.org
In the modern information society, analysis of human mobility becomes increasingly
essential in various areas such as city planning and resource management. With users' …

User mobility from the view of cellular data networks

Y Zhang - IEEE INFOCOM 2014-IEEE Conference on Computer …, 2014 - ieeexplore.ieee.org
Understanding the user mobility is essential to resource optimization and algorithm
evaluation in mobile networks, such as network planning, content distribution, and …

Cell phone big data to compute mobility scenarios for future smart cities

D Tosi - International Journal of Data Science and Analytics, 2017 - Springer
Efficient mobility is a key aspect for the future smart cities. The real added value for smart
cities is the real-time optimization of vehicular and public transportation flows to reduce …