Mapping Bike – area-specific update of the streetscape and supporting for drone flights

Result of the project Digital Twin Munich as part of the funding guideline "Digitalization of Municipal Transport Systems" by the Federal Ministry of Transport and Digital Infrastructure.

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The concept of the Mapping Bike was developed in collaboration with the Technical University of Munich (TUM) to record changes in road construction and to complement drone-based data collection.

Changes in urban streetscape are very dynamic which makes it difficult to record. The Mapping Bike, developed in collaboration with TUM, offers a potential solution for this issue. Small-scale updates support the mobile mapping and keep it up to date. Equipped with two cameras, the Mapping Bike records the road while driving. Each camera is mounted on a gimbal (see pictures in the gallery), which compensates for the movements that occur while driving, thus guaranteeing horizontally aligned images. By overlapping the images and together with exact GPS-supported geolocation, a photogrammetric 3D scene can be produced and made available as a visualization. Extremely high-resolution and realistic 3D mesh models can be generated, when the data from the Mapping Bike is combined with the drone-based data collection. Additionally, a mobile mapping system has been developed for updating the base map of the city. Primarily, this holistic approach focused on the question as to how information of construction measures can be provided quickly, in order to then update the on-site situation with the new recordings from the Mapping Bike.

Contribution to the digitalization of municipal transport systems

Especially in large cities like Munich, a single digitization of streetscape becomes outdated quickly. Therefore, the Mapping Bike is designed to update small-scale and rapidly changing areas. For this purpose, the operator rides along the required street while the camera system automatically captures images. Due to the small size of the mobile mapping system (see picture in the gallery), data of narrow pathways or bicycle paths can also be easily collected. This makes a valuable contribution to the digitization of municipal traffic systems, particularly when it comes to updating small-scale, dynamic changes.

Contribution to air pollution control / clean air in the City of Munich

The Mapping Bike represents a sustainable solution for transportation, without additional pollution. Furthermore, the data obtained can assist in reducing the number of on-site appointments by car, since the scene can be analyzed remotely. This can contribute to air pollution control directly as well as indirectly. In the future, mapping bikes can support the improved planning of cycle paths and thus make a long-term contribution to air pollution control for the City of Munich.

Perspective of the action

In addition to updating the streetscape on an area-specific basis, other application possibilities have already been identified. While creating a 3D model of the 2023 Oktoberfest by drone, the Mapping Bike was able to capture valuable images from the ground perspective, which contributed to improving the model (see the last picture in the gallery). The combination of aerial and ground-based imaging is a significant added value and will be implemented in the future more frequently. In addition, the condition assessment of bike paths is a possible application field, as car-based mobile mapping systems cannot record data in these areas.

Gallery

Mapping Bike front view

Mapping Bike rear view

Mapping Bike side view

Improvement because of street level pictures with the Mapping Bike

Other Results

Public Participation with the 3D City Model

Enhancing citizen participation by visualizing future scenarios using the 3D city model of the Digital Twin Munich.

3D Visualization and Standardized Representation of the Lane-Model

The standardized 3D modelling of roads and the street space enables its use for numerous applications and visualizations.

Indicator-based Analysis based on the 3D City Model

Indicators derived from the Digital Twin Munich allow the evaluation and comparison of “what-if scenarios”.

Sendlinger Tor Platz: View of combined 3D city model.

Semanticized 3D mesh model

Derivation of a semantic 3D city model from the photorealistic mesh model.

Mobile Mapping and Feature Extraction

The Digital Twin Munich uses panoramic images and inventories to support the city administration.

Interactive construction sites map in the Munich GeoPortal

See all construction sites and temporary traffic disruptions online at one glance.

City-wide lane model: lane-exact representation of the road space

The lane model contains the entire road system of Munich in a simulation-enabled data structure.

Development of a city-wide network for control points

In order to integrate road traffic into the digital twin, high-precision measurement control points are required.

The Digital Twin Munich in Minecraft

Including the Digital Twin Munich as part of the Minecraft game provides a great opportunity to involve young people in participation and planning processes.

Modeling of Traffic-Related Air Pollution

The combination of multiple data sources enables the modeling of traffic-related air pollution.

Drone flights to survey and update the Digital Twin Munich

Drone-based data collection is suitable for capturing temporary and shot term or structural changes within the city and updating the city-wide data of the Digital Twin Munich.

On display is a holistic 2D data integration for optimizing urban planning processes for transport infrastructure in Plexmap.

An innovative geodata exchange platform

The geodata exchange platform is the agile sub-project platform of the Digital Twin Munich and uses Plexmap for holistic 2D and 3D data integration to optimize urban planning processes.

With the help of augmented reality (AR), future construction projects are projected into today's reality

Experience today what will be built tomorrow. With AR, future construction projects can easily and directly on site be superimposed and displayed together in today’s realit

Dashboard overview with selection options for various sensor values.

Geodashboards within the Digital Twin Munich

Geodashboards support informed decision making by visualizing complex geodata from the Digital Twin Munich.

Co-creation for the Digital Twin Munich

The Digital Twin Munich project is an excellent illustration of how visionary ideas and interdisciplinary collaboration positively impact urban development.