The density‐based spatial clustering of application with noise (DBSCAN) algorithm has
good robustness and is widely employed to cluster vehicle trajectories for vehicle movement …

Due to the large amount of waste generated by urban construction, the transportation of
construction waste has a significant impact on urban traffic. Understanding the transportation …

Intelligent transportation systems use new technologies to improve road safety. In them,
vehicles have been equipped with wireless communication systems called on-board units …

Many density-based clustering algorithms already proposed in the literature are capable of
finding clusters with different shapes, sizes, and densities. Also, the noise points are …

Human motion recognition is playing an increasingly important role in modern society. Direct
recognition of complex motions has great limitations, so we usually study basic motions first …

There are considerable obstacles in the transport sector of develo** countries, including
poor road conditions, poor road maintenance and congestion. The dire impacts of these …

In order to realize the real-time progressive compression of massive data and ensure the
quality of compressed data, a real-time progressive compression method of massive data …

Density-based methods have appeared as a practical approach for the clustering of data
streams. While various density-based algorithms have recently been developed for data …

Clustering is a machine learning technique that groups data samples based on similarity
and identifies outliers with distinct features. Density-based clustering outperforms other …

Intelligent transportation systems use new technologies to improve road safety. In them,
vehicles have been equipped with wireless communication systems called on-board units …