VS Trier – AI-optimised traffic control in urban areas for sustainable mobility services

The city of Trier is planning an AI-supported traffic control project to improve traffic flow and reduce environmental pollution by setting up a new city information system with sensors, AI-supported data analysis and digital display boards.

The city of Trier has submitted the project "AI-optimised traffic control in urban areas for sustainable mobility services" as part of the call for funding "Implementation of investment model projects to promote climate protection" from the Federal Ministry for Environment, Nature Conservation and Nuclear Safety (BMU). The aims of the project are to improve traffic flow, reduce environmental pollution, optimise private transport and reduce (parking) traffic. The outdated and partially defective parking guidance system (PLS), the overloaded infrastructure and high levels of noise and air pollution are seen as problematic. The development of a completely new (parking guidance) system and the reorganisation of mobility services were named as solutions in the funding application.

The target system (here: City Information System (CIS)) is made up of three components:

  1. Intensive data acquisition using new detectors and sensors
  2. Data analysis using artificial intelligence (AI) in an CIS traffic computer
  3. Data provision as part of a city information system using digital display boards

Various planning, consulting and monitoring services are required to realise the project. SSP Consult GmbH covers the areas of car park guidance systems and traffic computers. Prof. Trapp (Trier University of Applied Sciences) contributes planning expertise. The DLR Institute of Transportation Systems contributes AI expertise.

Project title:
VS Trier – Trier Verkehrssteuerung

Duration:
09/2023 to 12/2027

Project volume:
128.790,40 €

Contracting authority:
SSP Consult GmbH

This project is managed by the department:

Contact

Dr. Sascha Knake-Langhorst

Head of Department
German Aerospace Center (DLR)
Institute of Transportation Systems
Digitalized Road Transport
Lilienthalplatz 7, 38108 Braunschweig