Assessing Quality Requirements for Congestion Tail Information - a German Case Study

Norbert Brändle, Peter Lubrich (Vortragende:r), Michael Aleksa, Filippo Garolla, Oliver Sidla, Cornelie van Driel, Erik Schaarschmidt

Publikation: Beitrag in Buch oder TagungsbandVortrag mit Beitrag in TagungsbandBegutachtung


Many traffic accidents on motorways are caused by rear-end collisions. One measure to prevent such accidents is to inform road travellers about dangerous congestion tails downstream of their route in an accurate and timely manner. This paper presents a research project with the main objective of developing a vision-based reference system, allowing quality measurements of third-party Congestion Tail Information. It compares ground-truth congestions phenomena, as recorded by roadside CCTV systems, with third-party data feeds on congestions tails. Such reference system aims to support public authorities, when assessing and acquiring Congestion Tail data from commercial data providers. The reference system was applied in a field test along a German motorway. Based on the findings, minimum quality and service levels to be met by potential data providers were suggested to meet demands of interoperable data environments and end-user expectations.
TitelProceedings ITS World Congress 2021
PublikationsstatusVeröffentlicht - 2021
VeranstaltungProceedings ITS World Congress 2021 -
Dauer: 11 Okt. 202115 Nov. 2021


KonferenzProceedings ITS World Congress 2021

Research Field

  • Road Infrastructure Assessment, Modelling and Safety Evaluation
  • Ehemaliges Research Field - Smart and Carbon Neutral Urban Developments


Untersuchen Sie die Forschungsthemen von „Assessing Quality Requirements for Congestion Tail Information - a German Case Study“. Zusammen bilden sie einen einzigartigen Fingerprint.

Diese Publikation zitieren