Case Study - 3D Laser Scanning & BIM Services for Montgomery County Garage 49 Pedestrian Bridge, MD
Project Overview
Client Profile
Montgomery County Garage 49 Pedestrian Bridge (OGTR Bridge)
Location
Montgomery, MD
Industry
Public Infrastructure
Inputs
Project requirements
Deliverables
Laser Scanning, Scan to BIM, Provided LOD 500
SOFTWARE WE USED
Business Needs
The Montgomery County Garage 49 pedestrian bridges play a vital role in the county’s transportation infrastructure. Accurate as-built documentation of the existing pedestrian bridges was required by the county to serve as a reliable baseline for future renovations and maintenance. With Tejjy’s extensive expertise in 3D lidar scanning, Scan to BIM services, and infrastructure BIM modeling, we were selected as the ideal partner for this project.
Key Objectives:
- Identify and fill missing data gaps from the existing 2019 3D scan of Garage 49, ensuring complete spatial accuracy.
- Provide a construction-ready LOD 500 model to minimize risks and ensure precise alignment for design and construction teams.
- Support upcoming facility upgrades, including Electric Vehicle (EV) charging arrays on Level 2 and Level 3, and an overhaul of the air quality system in Garage 49.
- Ensure seamless coordination with existing infrastructure, MEPF systems, and traffic management while maintaining operational efficiency.
Challenges
The project posed several challenges that required innovative solutions:
- Capturing precise 3D data was difficult due to the bridge’s design and surroundings, requiring advanced scanning techniques.
- The pedestrian bridges cross over Old Georgetown Road (OGTR) and Edgemoor Lane with limited accessibility & high-traffic area. This makes it difficult to conduct full-scale scans from all necessary perspectives.
- Public access and ongoing infrastructure operations required careful planning to minimize disruptions.
- The project required uploading raw and processed scan files to MCDOT’s 3D Scan Storage, ensuring compliance with industry-standard formats for long-term usability.
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Our Solutions & Approach
Our team adopted a comprehensive approach to overcome challenges and deliver a successful outcome.
- We deployed Leica RTC360 and BLK360 laser scanners to capture highly accurate as-built data, ensuring a NAD83 georeferenced 3D scan for precise alignment with existing infrastructure.
- Our team scanned and meshed missing sections in Garage 49, ensuring all levels had complete 3D documentation.
- As per the brief Tejjy Inc.’s expert Lidar scanning services in Maryland implemented targeted scanning of the ground level and Level 1 to support the modeling of Level 2 and Level 3 EV charging arrays.
- Team Tejjy Inc. delivered a Level of Development (LOD) 500 Scan to BIM model for accurate as-built documentation of road infrastructure, supporting future renovations, maintenance, and infrastructure upgrades.
- We put into action our digitized AEC solutions by utilizing Autodesk Revit and Navisworks to integrate MEPF coordination, ensuring clash detection and inter-disciplinary interoperability.
- Submitted both raw and processed 3D scan files to MCDOT 3D Scan Storage. Our scan-to-bim experts ensured data compliance with industry-standard formats (e.g., .e57, .rvt, .ifc).
- We worked with MCDOT_PM IT Specialists to upload the processed files to the MCDOT 3D Scan Library, making them accessible for future infrastructure projects and maintenance teams.
Business Impact
- The updated 3D scan dataset ensured complete documentation of the pedestrian bridges and Garage 49.
- The LOD 500 model provided a detailed reference for designers, engineers, and maintenance teams, improving coordination and decision-making.
- Scan to BIM significantly reduced the time required for traditional surveying and minimized costly rework due to design errors.
- The data supports upcoming EV charging station installations and the air quality system overhaul, ensuring that Garage 49 remains a modern, sustainable facility.
- Compliance with MCDOT’s data storage protocols ensured long-term accessibility of scan data, supporting future public infrastructure initiatives.