Big trajectory data mining: a survey of methods, applications, and services

D Wang, T Miwa, T Morikawa - Sensors, 2020 - mdpi.com
The increasingly wide usage of smart infrastructure and location-aware terminals has
helped increase the availability of trajectory data with rich spatiotemporal information. The …

Vehicle trajectory clustering based on dynamic representation learning of internet of vehicles

W Wang, F Xia, H Nie, Z Chen, Z Gong… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
With the widely used Internet of Things, 5G, and smart city technologies, we are able to
acquire a variety of vehicle trajectory data. These trajectory data are of great significance …

Trajectory data classification: A review

J Bian, D Tian, Y Tang, D Tao - ACM Transactions on Intelligent Systems …, 2019 - dl.acm.org
This article comprehensively surveys the development of trajectory data classification.
Considering the critical role of trajectory data classification in modern intelligent systems for …

Edge Computing for Internet of Everything: A Survey

X Kong, Y Wu, H Wang, F Xia - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
In this era of the Internet of Everything (IoE), edge computing has emerged as the critical
enabling technology to solve a series of issues caused by an increasing amount of …

Spatial keyword search: a survey

L Chen, S Shang, C Yang, J Li - GeoInformatica, 2020 - Springer
Spatial keyword search has been playing an indispensable role in personalized route
recommendation and geo-textual information retrieval. In this light, we conduct a survey on …

Emergency message dissemination schemes based on congestion avoidance in VANET and vehicular FoG computing

A Ullah, S Yaqoob, M Imran, H Ning - IEEE Access, 2018 - ieeexplore.ieee.org
With the rapid growth in connected vehicles, FoG-assisted vehicular ad hoc network
(VANET) is an emerging and novel field of research. For information sharing, a number of …

A survey on big data for trajectory analytics

D Ribeiro de Almeida, C de Souza Baptista… - … International Journal of …, 2020 - mdpi.com
Trajectory data allow the study of the behavior of moving objects, from humans to animals.
Wireless communication, mobile devices, and technologies such as Global Positioning …

Truck traffic speed prediction under non-recurrent congestion: Based on optimized deep learning algorithms and GPS data

J Zhao, Y Gao, Z Yang, J Li, Y Feng, Z Qin, Z Bai - IEEE Access, 2019 - ieeexplore.ieee.org
Due to the restriction of traffic management measure in large cities, large heavy-haul trucks
can only travel on the circuits and expressways around the city, which often causes …

Privacy preservation in location-based services: A novel metric and attack model

S Shaham, M Ding, B Liu, S Dang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Recent years have seen rising needs for location-based services in our everyday life. Aside
from the many advantages provided by these services, they have caused serious concerns …

Trajectory analysis for on-demand services: A survey focusing on spatial-temporal demand and supply patterns

S Wang, L Li, W Ma, X Chen - Transportation Research Part C: Emerging …, 2019 - Elsevier
With the development of information technique and wireless communication, a vast number
of taxis' and ride-sharing cars' trajectory data that provide a rich and detailed source to study …