Novel trajectory clustering method based on distance dependent Chinese restaurant process.

ABSTRACT: Trajectory clustering and path modelling are two core tasks in intelligent transport systems with a wide range of applications, from modeling drivers' behavior to traffic monitoring of road intersections. Traditional trajectory analysis considers them as separate tasks, where the system first clusters the trajectories into a known number of clusters and then the path taken in each cluster is modelled. However, such a hierarchy does not allow the knowledge of the path model to be used to improve the performance of trajectory clustering. Based on the distance dependent Chinese restaurant process (DDCRP), a trajectory analysis system that simultaneously performs trajectory clustering and path modelling was proposed. Unlike most traditional approaches where the number of clusters should be kno

SUBMITTER: Arfa R 

PROVIDER: S-EPMC7924552 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature