AI-empowered trajectory anomaly detection for intelligent transportation systems: A hierarchical federated learning approach

X Wang, W Liu, H Lin, J Hu, K Kaur… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The vigorous development of positioning technology and ubiquitous computing has
spawned trajectory big data. By analyzing and processing the trajectory big data in the form …

DiffTAD: Denoising diffusion probabilistic models for vehicle trajectory anomaly detection

C Li, G Feng, Y Li, R Liu, Q Miao, L Chang - Knowledge-Based Systems, 2024 - Elsevier
Vehicle trajectory anomaly detection plays an essential role in the fields of traffic video
surveillance, autonomous driving navigation, and taxi fraud detection. Deep generative …

A sequential pattern mining based approach to adaptively detect anomalous paths in floating vehicle trajectories

Y Shi, D Wang, Z Ni, H Liu, B Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The detection of anomalous paths from floating vehicle trajectories plays an increasingly
important role in dynamic path planning because of its ability to identify fraudulent transport …

Real-time taxi spatial anomaly detection based on vehicle trajectory prediction

W Hu, M Li, MP Kwan, H Luo, B Chen - Travel Behaviour and Society, 2024 - Elsevier
Taxi services have long faced difficulties with unethical taxi drivers taking detours, especially
when passengers are unfamiliar with their surroundings. Therefore, it is important to monitor …

[HTML][HTML] Abnormal-trajectory detection method based on variable grid partitioning

C Chen, D Xu, Q Yu, S Gong, G Shi, H Liu… - … International Journal of …, 2023 - mdpi.com
Abnormal-trajectory detection can be used to detect fraudulent behavior by taxi drivers when
carrying passengers. Existing methods usually detect abnormal trajectories based on the …

[HTML][HTML] A deep learning-based approach for axle counter in free-flow tolling systems

BJ Souza, GK da Costa, AL Szejka, RZ Freire… - Scientific Reports, 2024 - nature.com
Enhancements in the structural and operational aspects of transportation are important for
achieving high-quality mobility. Toll plazas are commonly known as a potential bottleneck …

[HTML][HTML] Research on Real-Time Anomaly Detection Method of Bus Trajectory Based on Flink

Q Zou, W Xiong, X Wang, F Qin - Electronics, 2023 - mdpi.com
Bus transportation system has become the primary mode of traffic for urban residents. Every
day, thousands of buses provide services for millions of passengers. Efficiently monitoring …

TSHN: A trajectory similarity hybrid networks for dummy trajectory identification

Y Li, X Li, S Shang, X Zhang - 2022 IEEE 28th International …, 2023 - ieeexplore.ieee.org
Nowadays, people pay more and more attention to privacy protection with the continuous
occurrence of data breaches. In location-based services, dummy trajectory generation is a …

Trajectory outlier detection method based on group division

C Chen, D Xu, Q Jin, W Wang, L Sun… - Intelligent Data …, 2024 - content.iospress.com
Trajectory-outlier detection can be used to discover the fraudulent behaviour of taxi drivers
during operations. Existing detection methods typically consider each trajectory as a whole …

Anomaly detection of spatiotemporal sub-trajectories based on local outlier factor

Q Jiang, B Wang, Q He, Z Ding - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
In the field of early warning and surveillance, it is of great significance to detect abnormal
behaviors of targets from massive spatiotemporal trajectories for situation cognition. At …