loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Tania Banerjee ; Xiaohui Huang ; Ke Chen ; Anand Rangarajan and Sanjay Ranka

Affiliation: CISE, University of Florida, Gainesville, Florida, U.S.A.

Keyword(s): Intersection Traffic Analysis, Trajectory Data Mining, Anomaly Detection.

Abstract: Vehicle and pedestrian traffic at a traffic intersection provide crucial information about the performance of the intersection for safety and throughput. It is possible to discover patterns and outliers on this data by applying data analytics. In this paper, we present a novel clustering algorithm for trajectories that use a new distance measure and a two-level hierarchical clustering approach based on geometric properties of the trajectories and spectral clustering. Trajectory data is augmented with signal phasing and timing information, which gives new insights to the trajectory data. We demonstrate the procedure on a real-life intersection where the prominent patterns for traffic movement are found, and the anomalous trajectories are extracted.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 44.204.164.147

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Banerjee, T.; Huang, X.; Chen, K.; Rangarajan, A. and Ranka, S. (2020). Clustering Object Trajectories for Intersection Traffic Analysis. In Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS; ISBN 978-989-758-419-0; ISSN 2184-495X, SciTePress, pages 98-105. DOI: 10.5220/0009422500980105

@conference{vehits20,
author={Tania Banerjee. and Xiaohui Huang. and Ke Chen. and Anand Rangarajan. and Sanjay Ranka.},
title={Clustering Object Trajectories for Intersection Traffic Analysis},
booktitle={Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS},
year={2020},
pages={98-105},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009422500980105},
isbn={978-989-758-419-0},
issn={2184-495X},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS
TI - Clustering Object Trajectories for Intersection Traffic Analysis
SN - 978-989-758-419-0
IS - 2184-495X
AU - Banerjee, T.
AU - Huang, X.
AU - Chen, K.
AU - Rangarajan, A.
AU - Ranka, S.
PY - 2020
SP - 98
EP - 105
DO - 10.5220/0009422500980105
PB - SciTePress