OPTIPLAN – Driving Innovation in Traffic and Urban Planning

OPTIPLAN – Driving Innovation in Traffic and Urban Planning

October 25, 2024

Driving Innovation in Traffic and Urban Planning: Insights from OPTIPLAN

On October 24, 2024, the OPTIPLAN research consortium (German Aerospace Center (DLR)/University of Würzburg, Ingenieurbüro Behringer & Partner, and OBERMEYER GmbH) gathered to advance collaborative innovations in remote sensing for urban traffic and development. Discussions highlighted new approaches that extend beyond traditional methodologies to address emerging urban needs.

Pioneering AI-Enhanced Traffic Monitoring
A major focus was using AI to analyze street-level camera feeds for precise traffic monitoring. By adapting high-resolution remote sensing tools for privacy-compliant, low-resolution street images, it is the aim to distinguish not only broad categories—such as cars, pedestrians, and cyclists—but also specific classes, like heavy vehicles and cargo bikes. This capability promises a more refined understanding of urban traffic dynamics and improved planning accuracy.

Spatial Balance for Sustainable Urban Development
In view of northern Munich’s growth, we evaluated planning scenarios that balance essential green and blue spaces with built-up areas. Using spatial statistics, the projections consider both environmental benefits and the mitigation of urban heat. This balance is crucial as Munich anticipates population increase, underscoring the need for development that promotes livability and sustainability.

Beyond this, a tour of DLR’s facilities offered valuable insights into orthophoto data collection, showcasing our end-to-end approaches—from large-scale satellite and aerial imagery to on-ground traffic analysis and strategic urban planning.

 

you may also like:

Visit at the Institute for Geoinformatics (IFGI) at University of Münster

Visit at the Institute for Geoinformatics (IFGI) at University of Münster

Two days ago, our PostDoc Dr. Jakob Schwalb-Willmann visited the Institute for Geoinformatics at University of Münster to give a talk at IFGI’s GI Forum titled “Can animals be used to classify land use? Employing movement-tracked animals as environmental informants using deep learning”.

EOCap4Africa training in Ruhengeri

EOCap4Africa training in Ruhengeri

This week, over 25 students are attending a training session at the Institute of Applied Sciences (INES) in Ruhengeri, Rwanda, using the MSc module on Remote Sensing for Biodiversity Conservation that we developed. This module is part of the EOCap4Africa project...

New Team Member at the EORC: Sonja Mass

New Team Member at the EORC: Sonja Mass

Sonja Maas joined the Earth Observation Research Cluster (EORC) in October 2025 as a research assistant for the EO4CAM project. After finishing her bachelor's degree in forestry, Sonja Maas enrolled in the EAGLE M.Sc. program at the University of Würzburg, where she...

Field Excursion to Owabi Wildlife Sanctuary

Field Excursion to Owabi Wildlife Sanctuary

As a highlight of the third day of our training at KNUST on the use of remote sensing for biodiversity conservation, we took our participants on a field excursion to the nearby Owabi Wildlife Sanctuary. Guided by experienced local experts, we explored the area and had...

Expedition to Central Asia in the frame of the FluBig project

Expedition to Central Asia in the frame of the FluBig project

Since mid of September, a team from the Earth Observation Research Cluster is on a field expedition at the Naryn River in Kyrgyzstan. The team is acquiring data on vegetation and hydro-geomorphic features for the DFG funded "FluBig" project which is dedicated to...