Approaches to Automatic Road Traffic Incident Detection and Incident Forecasting

Sören Striewski; Ingo Thomsen; Sven Tomforde

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

Approaches to Automatic Road Traffic Incident Detection and Incident Forecasting

Topics: Congestion Management and Avoidance; Information Systems and Technologies; Real-time Incident Detection

In Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems VEHITS - Volume 1, 289-296, 2023 , Prague, Czech Republic

Authors: Sören Striewski ; Ingo Thomsen and Sven Tomforde

Affiliation: Intelligent Systems, Kiel University, 24118 Kiel, Germany

Keyword(s): Automatic Traffic Incident Detection, Traffic Management, Adaptive Traffic Control.

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.

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 18.226.222.12

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:

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 - VEHITS; ISBN 978-989-758-652-1; ISSN 2184-495X, SciTePress, pages 289-296. DOI: 10.5220/0011859200003479

@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 - VEHITS},
year={2023},
pages={289-296},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011859200003479},
isbn={978-989-758-652-1},
issn={2184-495X},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS
TI - Approaches to Automatic Road Traffic Incident Detection and Incident Forecasting
SN - 978-989-758-652-1
IS - 2184-495X
AU - Striewski, S.
AU - Thomsen, I.
AU - Tomforde, S.
PY - 2023
SP - 289
EP - 296
DO - 10.5220/0011859200003479
PB - SciTePress