A survey on deep learning for human activity recognition
Human activity recognition is a key to a lot of applications such as healthcare and smart
home. In this study, we provide a comprehensive survey on recent advances and challenges …
home. In this study, we provide a comprehensive survey on recent advances and challenges …
A survey of traffic prediction: from spatio-temporal data to intelligent transportation
Intelligent transportation (eg, intelligent traffic light) makes our travel more convenient and
efficient. With the development of mobile Internet and position technologies, it is reasonable …
efficient. With the development of mobile Internet and position technologies, it is reasonable …
A survey of methods for time series change point detection
S Aminikhanghahi, DJ Cook - Knowledge and information systems, 2017 - Springer
Change points are abrupt variations in time series data. Such abrupt changes may represent
transitions that occur between states. Detection of change points is useful in modelling and …
transitions that occur between states. Detection of change points is useful in modelling and …
Environmental benefits of bike sharing: A big data-based analysis
Bike sharing is a new form of transport and is becoming increasingly popular in cities around
the world. This study aims to quantitatively estimate the environmental benefits of bike …
the world. This study aims to quantitatively estimate the environmental benefits of bike …
Trajectory data mining: an overview
Y Zheng - ACM Transactions on Intelligent Systems and …, 2015 - dl.acm.org
The advances in location-acquisition and mobile computing techniques have generated
massive spatial trajectory data, which represent the mobility of a diversity of moving objects …
massive spatial trajectory data, which represent the mobility of a diversity of moving objects …
Inferring transportation modes from GPS trajectories using a convolutional neural network
Identifying the distribution of users' transportation modes is an essential part of travel
demand analysis and transportation planning. With the advent of ubiquitous GPS-enabled …
demand analysis and transportation planning. With the advent of ubiquitous GPS-enabled …
Human mobility: Models and applications
Recent years have witnessed an explosion of extensive geolocated datasets related to
human movement, enabling scientists to quantitatively study individual and collective …
human movement, enabling scientists to quantitatively study individual and collective …
Urban computing: concepts, methodologies, and applications
Urbanization's rapid progress has modernized many people's lives but also engendered big
issues, such as traffic congestion, energy consumption, and pollution. Urban computing …
issues, such as traffic congestion, energy consumption, and pollution. Urban computing …
Understanding human mobility from Twitter
Understanding human mobility is crucial for a broad range of applications from disease
prediction to communication networks. Most efforts on studying human mobility have so far …
prediction to communication networks. Most efforts on studying human mobility have so far …
A review of moving object trajectory clustering algorithms
G Yuan, P Sun, J Zhao, D Li, C Wang - Artificial Intelligence Review, 2017 - Springer
Clustering is an efficient way to group data into different classes on basis of the internal and
previously unknown schemes inherent of the data. With the development of the location …
previously unknown schemes inherent of the data. With the development of the location …