A survey of traffic prediction: from spatio-temporal data to intelligent transportation
H Yuan, G Li - Data Science and Engineering, 2021 - Springer
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 on trajectory data management, analytics, and learning
Recent advances in sensor and mobile devices have enabled an unprecedented increase
in the availability and collection of urban trajectory data, thus increasing the demand for …
in the availability and collection of urban trajectory data, thus increasing the demand for …
BSMD: A blockchain-based secure storage mechanism for big spatio-temporal data
Y Ren, D Huang, W Wang, X Yu - Future Generation Computer Systems, 2023 - Elsevier
As more and more mobile devices and IoT terminals are connected to the Internet, a huge
amount of spatio-temporal data is generated. In order to cope with the pressure of storing …
amount of spatio-temporal data is generated. In order to cope with the pressure of storing …
Data warehouse systems
A Vaisman, E Zimányi - Data-Centric Systems and Applications, 2014 - Springer
Since the late 1970s, relational database technology has been adopted by most
organizations to store their essential data. However, nowadays, the needs of these …
organizations to store their essential data. However, nowadays, the needs of these …
A survey on IoT big data analytic systems: Current and future
Y Sasaki - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) has become widespread around the world. Since a large
number of diverse devices, such as vehicles, household electrical appliances, smart …
number of diverse devices, such as vehicles, household electrical appliances, smart …
A survey on spatio-temporal data analytics systems
Due to the surge of spatio-temporal data volume, the popularity of location-based services
and applications, and the importance of extracted knowledge from spatio-temporal data to …
and applications, and the importance of extracted knowledge from spatio-temporal data to …
Spatio-temporal trajectory similarity learning in road networks
Deep learning based trajectory similarity computation holds the potential for improved
efficiency and adaptability over traditional similarity computation. However, existing learning …
efficiency and adaptability over traditional similarity computation. However, existing learning …
Distributed in-memory trajectory similarity search and join on road network
H Yuan, G Li - 2019 IEEE 35th international conference on data …, 2019 - ieeexplore.ieee.org
Many applications, eg, Uber, collect large-scale trajectory data from moving vehicles on road
network. Trajectory data analytics can benefit many real-world applications, such as route …
network. Trajectory data analytics can benefit many real-world applications, such as route …
Lightpath: Lightweight and scalable path representation learning
Movement paths are used widely in intelligent transportation and smart city applications. To
serve such applications, path representation learning aims to provide compact …
serve such applications, path representation learning aims to provide compact …
Trajmesa: A distributed nosql storage engine for big trajectory data
Trajectory data is very useful for many urban applications. However, due to its spatio-
temporal and high-volume properties, it is challenging to manage trajectory data. Existing …
temporal and high-volume properties, it is challenging to manage trajectory data. Existing …