Intersection-centric Urban Traffic Flow Clustering for Incident Detection in Organic Traffic Control

Ingo Thomsen, Sven Tomforde

2022

Abstract

The current trend of high and even increasing traffic volumes in urban areas is unbroken. This puts high strain on urban road networks, which is aggravated by unforeseen traffic incidents. To mitigate this, the Organic Traffic Control offers a resilient, decentralised traffic management system. With the additional ability to take incidents into under consideration, its performance could increase. To promote this we have previously presented a density-based approach for clustering traffic flows in order to detect traffic disturbances. In this work we assess this approach in more detail. However, the fundamental shortcomings could not be refuted.

Paper Citation

in Harvard Style

Thomsen I. and Tomforde S. (2022). Intersection-centric Urban Traffic Flow Clustering for Incident Detection in Organic Traffic Control. In Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-573-9, pages 410-417. DOI: 10.5220/0011085400003191

in Bibtex Style

@conference{vehits22,
author={Ingo Thomsen and Sven Tomforde},
title={Intersection-centric Urban Traffic Flow Clustering for Incident Detection in Organic Traffic Control},
booktitle={Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2022},
pages={410-417},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011085400003191},
isbn={978-989-758-573-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - Intersection-centric Urban Traffic Flow Clustering for Incident Detection in Organic Traffic Control
SN - 978-989-758-573-9
AU - Thomsen I.
AU - Tomforde S.
PY - 2022
SP - 410
EP - 417
DO - 10.5220/0011085400003191