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Authors: Matthias Sommer and Jörg Hähner

Affiliation: University of Augsburg, Germany

ISBN: 978-989-758-242-4

Keyword(s): Congestion Detection, Road Traffic, Self-organisation, Organic Traffic Control.

Abstract: Intersection management, routing, and congestion avoidance are key factors for improved mobility and better road network utilisation. Organic Traffic Control (OTC) is a self-organising traffic management system for urban road networks. Its main features are the self-adaptive traffic-responsive signalisation of intersections, the coordination of traffic light controllers, and dynamic route guidance of traffic streams. This paper aims at presenting how the automatic and fully distributed incident detection within OTC works and how OTC makes use of these incident alarms for the automated adaptation of signalisation.

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Paper citation in several formats:
Sommer M. and Hähner J. (2017). Adapting Signal Timings to Automated Incident Alarms within a Self-organised Traffic Control System.In Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-242-4, pages 203-210. DOI: 10.5220/0006295602030210

@conference{vehits17,
author={Matthias Sommer and Jörg Hähner},
title={Adapting Signal Timings to Automated Incident Alarms within a Self-organised Traffic Control System},
booktitle={Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2017},
pages={203-210},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006295602030210},
isbn={978-989-758-242-4},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - Adapting Signal Timings to Automated Incident Alarms within a Self-organised Traffic Control System
SN - 978-989-758-242-4
AU - Sommer M.
AU - Hähner J.
PY - 2017
SP - 203
EP - 210
DO - 10.5220/0006295602030210

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