State-of-the-art deep learning: Evolving machine intelligence toward tomorrow's intelligent network traffic control systems
Currently, the network traffic control systems are mainly composed of the Internet core and
wired/wireless heterogeneous backbone networks. Recently, these packet-switched …
wired/wireless heterogeneous backbone networks. Recently, these packet-switched …
Urban human mobility data mining: An overview
Understanding urban human mobility is crucial for epidemic control, urban planning, traffic
forecasting systems and, more recently, various mobile and network applications …
forecasting systems and, more recently, various mobile and network applications …
Predicting taxi demand at high spatial resolution: Approaching the limit of predictability
In big cities, taxi service is imbalanced. In some areas, passengers wait too long for a taxi,
while in others, many taxis roam without passengers. Knowledge of where a taxi will …
while in others, many taxis roam without passengers. Knowledge of where a taxi will …
Urban pulse: Capturing the rhythm of cities
Cities are inherently dynamic. Interesting patterns of behavior typically manifest at several
key areas of a city over multiple temporal resolutions. Studying these patterns can greatly …
key areas of a city over multiple temporal resolutions. Studying these patterns can greatly …
[HTML][HTML] Quantifying human mobility resilience to extreme events using geo-located social media data
Mobility is one of the fundamental requirements of human life with significant societal
impacts including productivity, economy, social wellbeing, adaptation to a changing climate …
impacts including productivity, economy, social wellbeing, adaptation to a changing climate …
Multi-scale spatio-temporal analysis of human mobility
The recent availability of digital traces generated by phone calls and online logins has
significantly increased the scientific understanding of human mobility. Until now, however …
significantly increased the scientific understanding of human mobility. Until now, however …
Predicting taxi and uber demand in cities: Approaching the limit of predictability
Time series prediction has wide applications ranging from stock price prediction, product
demand estimation to economic forecasting. In this article, we treat the taxi and Uber …
demand estimation to economic forecasting. In this article, we treat the taxi and Uber …
Spotting trip purposes from taxi trajectories: A general probabilistic model
What is the purpose of a trip? What are the unique human mobility patterns and spatial
contexts in or near the pickup points and delivery points of trajectories for a specific trip …
contexts in or near the pickup points and delivery points of trajectories for a specific trip …
CellSense: Human mobility recovery via cellular network data enhancement
Data from the cellular network have been proved as one of the most promising way to
understand large-scale human mobility for various ubiquitous computing applications due to …
understand large-scale human mobility for various ubiquitous computing applications due to …
Detecting and analyzing urban centers based on the localized contour tree method using taxi trajectory data: A case study of Shanghai
Urban structure is of vital importance to urban planning, transportation, economics and other
applications. Since detecting and analyzing urban centers is crucial for understanding urban …
applications. Since detecting and analyzing urban centers is crucial for understanding urban …