• Foth

    Hubbell Avenue

    Des Moines, Iowa, United States

Project Summary

Project

In Des Moines, Iowa, the Department of Transportation (IaDOT) is reconstructing a 0.4-mile stretch of Hubbell Avenue where many accidents have occurred. Foth was tasked with redesigning the dangerous intersection to include traffic signals, turn lanes, and raised crosswalks for pedestrians. The main challenges for this IaDOT pilot project included keeping the project crew safe in a high-traffic corridor and providing streamlined communication with all stakeholders.

Solution

The project team challenged itself to implement the reality modeling technology that it had only recently learned to use at the time it was awarded the project. Foth created a digital twin of the project site using a combination of conventional surveying methods, mobile LiDAR, and vehicle-based capturing methods that the project team termed “PhoDAR.” For aerial capture, the project team used two unmanned aerial systems, including fixed-wing and multirotator vehicles to create a reality mesh. Using Bentley’s OpenRoads application, Foth combined the reality mesh with the OpenRoads model to create a 3D model that included all project data in one location.

Outcome

Using Bentley’s ContextCapture, Foth captured a total point cloud data amount of over 450 million points. The average control error reported was 0.005 square feet, with a National Standard for Spatial Data vertical accuracy of 95%. The final digital twin will be used to present the plan to project stakeholders and the local community, allowing them to easily see how the final design will impact their daily lives. Foth was able to create a model that was precise, georeferenced, and accurate. Ultimately, the project team successfully completed the 3D model, which applied all their reality modeling technologies and featured a design that was clearly presented. Moving forward, once the design is approved, Foth plans to use a virtual reality version of this model to streamline the construction process.

Software

ContextCapture was used to gather all the point cloud data and create a reality mesh of the exterior of the project. OpenRoads was used to design the core in the middle of the project. MicroStation was used to prepare the model before implementing it into LumenRT, which was used to publish and present the model, bringing it to life with traffic simulation.

Project Playbook: ContextCapture, LumenRT, MicroStation®, OpenRoads

Outcome/Facts
  • The Iowa Department of Transportation wanted to reconstruct a 0.4-mile stretch of Hubbell Avenue, on which there were many traffic accidents and reports of speeding.
  • Foth created a digital twin of the project site using a combination of conventional surveying methods, mobile LiDAR, and vehicle-based capturing methods that the project team termed “PhoDAR.”
  • The project team successfully completed the ultimate 3D model, which applied all their reality modeling technologies and featured a clear and accurate design.
Quote:
  • “Our ContextCapture reality mesh and OpenRoads model tie in together nicely. The mesh adds to the overall model by putting it in its own context, and you can see the actual businesses and residences. We share this model with business owners, stakeholders, and property owners so that they can really see the intention of our project.”

    Blaine Buenger Senior Technology Manager Foth