loading
Documents

Research.Publish.Connect.

Paper

Authors: Yashaswi Karnati ; Dhruv Mahajan ; Anand Rangarajan and Sanjay Ranka

Affiliation: Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL, U.S.A.

ISBN: 978-989-758-419-0

Keyword(s): Incident Detection, Loop Detectors Systems, Traffic Interruptions, Semi-Supervised, Data Mining.

Abstract: Detection of traffic interruptions (caused by vehicular breakdowns, road accidents etc.) is a critical aspect of managing traffic on urban road networks. This work outlines a semi-supervised strategy to automatically detect traffic interruptions occurring on arteries in urban road networks using high resolution data from widely deployed fixed point sensors (inductive loop detectors). The techniques highlighted in this paper are tested on data collected from detectors installed on more than 300 signalized intersections.

PDF ImageFull Text

Download
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 35.168.112.145

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:
Karnati, Y.; Mahajan, D.; Rangarajan, A. and Ranka, S. (2020). Data Mining Algorithms for Traffic Interruption Detection.In Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-419-0, pages 106-114. DOI: 10.5220/0009422701060114

@conference{vehits20,
author={Yashaswi Karnati. and Dhruv Mahajan. and Anand Rangarajan. and Sanjay Ranka.},
title={Data Mining Algorithms for Traffic Interruption Detection},
booktitle={Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2020},
pages={106-114},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009422701060114},
isbn={978-989-758-419-0},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - Data Mining Algorithms for Traffic Interruption Detection
SN - 978-989-758-419-0
AU - Karnati, Y.
AU - Mahajan, D.
AU - Rangarajan, A.
AU - Ranka, S.
PY - 2020
SP - 106
EP - 114
DO - 10.5220/0009422701060114

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.