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 …

Big data algorithms and applications in intelligent transportation system: A review and bibliometric analysis

S Kaffash, AT Nguyen, J Zhu - International journal of production economics, 2021 - Elsevier
The volume and availability of data in the Intelligent Transportation System (ITS) result in the
need for data-driven approaches. Big Data algorithms are applied to further enhance the …

Resilience metrics and measurement methods for transportation infrastructure: The state of the art

W Sun, P Bocchini, BD Davison - Sustainable and Resilient …, 2020 - Taylor & Francis
Transportation infrastructure plays an important role in supporting the national economy and
social well-being. Extreme events have caused terrible physical damages to the …

A survey of traffic data visualization

W Chen, F Guo, FY Wang - IEEE Transactions on intelligent …, 2015 - ieeexplore.ieee.org
Data-driven intelligent transportation systems utilize data resources generated within
intelligent systems to improve the performance of transportation systems and provide …

{PrivTrace}: Differentially Private Trajectory Synthesis by Adaptive Markov Models

H Wang, Z Zhang, T Wang, S He, M Backes… - 32nd USENIX Security …, 2023 - usenix.org
Publishing trajectory data (individual's movement information) is very useful, but it also
raises privacy concerns. To handle the privacy concern, in this paper, we apply differential …

A survey on map-matching algorithms

P Chao, Y Xu, W Hua, X Zhou - … , Melbourne, VIC, Australia, February 3–7 …, 2020 - Springer
The map-matching is an essential preprocessing step for most of the trajectory-based
applications. Although it has been an active topic for more than two decades and, driven by …

TrajCompressor: An Online Map-matching-based Trajectory Compression Framework Leveraging Vehicle Heading Direction and Change

C Chen, Y Ding, X Xie, S Zhang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Massive and redundant vehicle trajectory data are continuously sent to the data center via
vehicle-mounted GPS devices, causing a number of sustainable issues, such as storage …

When intelligent transportation systems sensing meets edge computing: Vision and challenges

X Zhou, R Ke, H Yang, C Liu - Applied Sciences, 2021 - mdpi.com
The widespread use of mobile devices and sensors has motivated data-driven applications
that can leverage the power of big data to benefit many aspects of our daily life, such as …

Map-based probabilistic visual self-localization

MA Brubaker, A Geiger… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Accurate and efficient self-localization is a critical problem for autonomous systems. This
paper describes an affordable solution to vehicle self-localization which uses odometry …

Personalized travel route recommendation using collaborative filtering based on GPS trajectories

G Cui, J Luo, X Wang - International journal of digital earth, 2018 - Taylor & Francis
Travelling is a critical component of daily life. With new technology, personalized travel route
recommendations are possible and have become a new research area. A personalized …