Approaches to Automatic Road Traffic Incident Detection and Incident Forecasting

Sören Striewski, Ingo Thomsen, Sven Tomforde

2023

Abstract

Traditional traffic light controllers are unable to respond to variations in traffic demand as they generally rely on fixed-time signalisation with predefined sequences. This work presents two algorithms, one for incident detection and one for congestion forecasting. The Extended California Algorithm (ECA), an incident detection algorithm, addresses flaws in the established California Algorithm. The congestion forecast algorithm detects occurrences when traffic exceeds the capacity of the accessible roads by comparing the present dynamic road capacity with the anticipated future traffic flow. Both are then compared with the established California algorithm.

Paper Citation

in Harvard Style

Striewski S., Thomsen I. and Tomforde S. (2023). Approaches to Automatic Road Traffic Incident Detection and Incident Forecasting. In Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-652-1, SciTePress, pages 289-296. DOI: 10.5220/0011859200003479

in Bibtex Style

@conference{vehits23,
author={Sören Striewski and Ingo Thomsen and Sven Tomforde},
title={Approaches to Automatic Road Traffic Incident Detection and Incident Forecasting},
booktitle={Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2023},
pages={289-296},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011859200003479},
isbn={978-989-758-652-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - Approaches to Automatic Road Traffic Incident Detection and Incident Forecasting
SN - 978-989-758-652-1
AU - Striewski S.
AU - Thomsen I.
AU - Tomforde S.
PY - 2023
SP - 289
EP - 296
DO - 10.5220/0011859200003479
PB - SciTePress