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 …
Transport modelling in the age of big data
ABSTRACT New Big Data sources such as mobile phone call data records, smart card data
and geo-coded social media records allow to observe and understand mobility behaviour on …
and geo-coded social media records allow to observe and understand mobility behaviour on …
A big-data driven approach to analyzing and modeling human mobility trend under non-pharmaceutical interventions during COVID-19 pandemic
During the unprecedented coronavirus disease 2019 (COVID-19) challenge, non-
pharmaceutical interventions became a widely adopted strategy to limit physical movements …
pharmaceutical interventions became a widely adopted strategy to limit physical movements …
[HTML][HTML] Measuring inequality in community resilience to natural disasters using large-scale mobility data
While conceptual definitions provide a foundation for the study of disasters and their
impacts, the challenge for researchers and practitioners alike has been to develop objective …
impacts, the challenge for researchers and practitioners alike has been to develop objective …
A survey of data fusion in smart city applications
The advancement of various research sectors such as Internet of Things (IoT), Machine
Learning, Data Mining, Big Data, and Communication Technology has shed some light in …
Learning, Data Mining, Big Data, and Communication Technology has shed some light in …
Escaping from cities during the COVID-19 crisis: Using mobile phone data to trace mobility in Finland
The coronavirus disease 2019 (COVID-19) crisis resulted in unprecedented changes in the
spatial mobility of people across societies due to the restrictions imposed. This also resulted …
spatial mobility of people across societies due to the restrictions imposed. This also resulted …
Big data analysis based network behavior insight of cellular networks for industry 4.0 applications
D Jiang, Y Wang, Z Lv, S Qi… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this article, we propose a big data based analysis framework to analyze and extract
network behaviors in cellular networks for Industry 4.0 applications from a big data …
network behaviors in cellular networks for Industry 4.0 applications from a big data …
Inferring dynamic origin-destination flows by transport mode using mobile phone data
Fast urbanization generates increasing amounts of travel flows, urging the need for efficient
transport planning policies. In parallel, mobile phone data have emerged as the largest …
transport planning policies. In parallel, mobile phone data have emerged as the largest …
Human mobility and socioeconomic status: Analysis of Singapore and Boston
Recently, some studies have shown that human movement patterns are strongly associated
with regional socioeconomic indicators such as per capita income and poverty rate. These …
with regional socioeconomic indicators such as per capita income and poverty rate. These …
Exploring human mobility patterns in urban scenarios: A trajectory data perspective
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 …
realize smart cities, computation and utilization of big data are key factors. More specifically …