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

Ingo Thomsen; Sven Tomforde

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Paper

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

Topics: Congestion Management and Avoidance; Decision Support Systems; Intelligent Infrastructure and Guidance Systems; Real-time Incident Detection; Traffic management Reporting Systems

In Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems VEHITS - Volume 1, 410-417, 2022

Authors: Ingo Thomsen and Sven Tomforde

Affiliation: Intelligent Systems, Christian-Albrechts-Universität zu Kiel, 24118 Kiel, Germany

Keyword(s): Traffic Management, Organic Traffic Control, Traffic Flow Analysis, Traffic Incident Detection.

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.

CC BY-NC-ND 4.0

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Paper citation in several formats:

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 - VEHITS; ISBN 978-989-758-573-9; ISSN 2184-495X, SciTePress, pages 410-417. DOI: 10.5220/0011085400003191

@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 - VEHITS},
year={2022},
pages={410-417},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011085400003191},
isbn={978-989-758-573-9},
issn={2184-495X},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS
TI - Intersection-centric Urban Traffic Flow Clustering for Incident Detection in Organic Traffic Control
SN - 978-989-758-573-9
IS - 2184-495X
AU - Thomsen, I.
AU - Tomforde, S.
PY - 2022
SP - 410
EP - 417
DO - 10.5220/0011085400003191
PB - SciTePress