CASE STUDY isprsarchives XL 2 W2 133 2013

a. Original scans b. Perform region grow c. The area is clean Figure 5. Region grow After the noisy data is removed, the point cloud data can be used to measure the vertical clearance of the bridge. Traditionally, vertical clearance is measured by using surveying equipment such as measuring tape, ruler and total station. Typically, measurements are taken at multiple locations in order to determine the minimum vertical clearance under the bridge. This process is time and labor consuming, and not accurate. Besides, it is not safe for a surveyor to perform a measurement in the middle of the road with traffic as shown in Figure 6. By using laser scanning technology, the entire bridge information is stored in point clouds data and clearance measurements can be taken in the office with high accuracy by calculating the distance between the road surface and the overhead surface at several different locations as shown in Figures 7 and 8. After the clearance is measured, a vertical clearance report of the specific bridge is generated. The report is then mapped to Google Map by extracting the geo-referenced information from the point cloud data. Figure 6. Vertical clearances in the perspective view Figure 7. Vertical clearances in the plan view Figure 8. Vertical clearances taken in the elevation view

6. CASE STUDY

The I-9094 and I-290 Circle Interchange, located in the heart of downtown Chicago, adjacent to the west end of the central business district, was originally built in the late 1950s and early 1960s. It links the Dan Ryan Expressway I-9094 to the south, the Kennedy Expressway to the north I-9094, the Eisenhower Expressway I-290 to the west, and Congress Parkway to the east. The Circle Interchange shown in Figure 9, is critical to the Chicagos transportation system, particularly for freight movement on Interstate and arterial roadways, as well as to regional railroads and waterways. According to the American Transportation Research Institute and the Federal Highway Administration, the Circle Interchange is the slowest and most congested highway freight bottleneck in the nation with more than 300,000 vehicles traveling through the Interchange on a daily basis, and over 1,100 crashes reported on average per year. In August 2012, the Illinois Department of Transportation IDOT began the planning and design phases for the potential rehabilitation of the Circle Interchange. Figure 9. Circle Interchange In order to avoid the noisy data and occlusions caused by the traffic, especially large trucks, scans were perform at midnight. One hundred and fifty scans were performed in a one-month period to capture thirty seven bridges in the circle interchange. The Leica C10 scanner was selected for use in this project. For each bridge, four scans were performed to achieve maximum point cloud coverage. The scanner was Volume XL-2W2, ISPRS 8th 3DGeoInfo Conference WG II2 Workshop, 27 – 29 November 2013, Istanbul, Turkey This contribution has been peer-reviewed. The peer-review was conducted on the basis of the abstract. 136 typically set up along the shoulder outside of the bridge as shown in Figure 10. Figure 10. Scanner’s location The point cloud data was registered into the State Plane Coordinate system for geo-referencing purposes. Multiple clearances were measured from the pavement to the lower beam of the bridge to define the minimum vertical clearance. The result was compared to the current design standards shown in Table 2. Table 2. Ranges for minimum vertical clearance 2011, A Policy on Geometric Design of Highways and Streets, 6th Edition, AASHTO Type of Roadway Rural Urban US feet Metric meters US feet Metric meters Freeway 14 –16 4.3–4.9 14 –16 4.3–4.9 Arterial 14 –16 4.3–4.9 14 –16 4.3–4.9 Collector 14 4.3 14 4.3 Local 14 4.3 14 4.3 For each bridge, a bridge clearance report was generated as shown in Figure 11. Figure 11. Bridge clearance report uGRIDD is a web-based service provider that offers geo- referencing of infrastructure data. One of uGRIDD’s functions called “Data2Map” was used in this research to geo- reference bridge clearance reports to Google map. By extracting the State Plane coordinates of each bridge and projecting it to the WGS 84 coordinates system, the location of each report was located on Google map as shown in Figure 12. Figure 12. Brige clearance on Google Map Each red dot represents a bridge clearance report. When one clicks on it, detailed information, such as the bridge name, northing, easting, elevation, and a printable PDF file for download show up in a bubble as shown in Figure 13. Figure 13. Clearance report information For security reason, some data may be sensitive and perhaps should not be available to the public. Codes were created to secure the information. Only authorized person, who have been issued invitation codes could view the information as shown in Figure 14. The final product is a simple URL that can be opened and shared with other authorized project participants. Figure 14. Invitation code

7. CONCLUSION