Office Data Process
Using pavement condition, geometric and imagery data collect in the field, the Office Data Processing Team uploads data into the Vision Office Data Processing Environment, file storage and MS-SQL DB systems. Data is then run through segmentation process to sync it with the Department's Linear referencing System mileages for the State and Local networks, ramps, Special Projects, Control Sites and for the CTFastrak System. Once segmented the data is then processed through multiple post Processors. Throughout this process staff also perform various QA & QC Processes to insure the high quality and most accurate data is being used. Data is then provided to Pavement Management Office and various other Department stake holders for use and report to the Federal Government as part of the annual Highway Performance Monitoring System Annual Submittal.
Data Analytics and QA/QC
Under the Department's federally required, Data Quality Management Plan (DQMP), The Photolog Unit is held to a specific set of required standards, and quality control and assurance procedures which have been defined to insure that the high levels of accuracy are achieved in both the field collection and office data processing efforts. As part of this, all field staff that perform manual rating of pavement data, are required to first acquire and maintain annual certification. The Data Analytics staff are tasked with implementing and then maintaining these policies and procedures. Further, staff are responsible assisting various operation units throughout the Department in support of pavement management benefit, asset development needs, agency geo-spatial interests and outside public and business partner interests. Staff provide continual use and development of the Digital Highway Software for viewing the collected roadway ROW imagery which provides benefit and saving to the Department through the potential reduction in required field visits
Image and Data Distribution
The DigitalHIWAY System includes three modules: DigitalHIWAY Incremental Index and Editor (IIE), DigitalHIWAY ImageServer (DH ImageServer), and DigitalHIWAY Client (DH Client).
The IIE post-processes raw collected data-streams into a form suitable for delivery to the DigitalHIWAY Client (on the end-user's desktop) by the DigitalHIWAY ImageServer. During this post-processing, image and non-image data-streams are associated and checked for completeness. Multiple photolog-filming sessions can be edited into a seamless ImageServer data set (so that long routes can be photologged in separate segments). Traditional department linear-referencing locations are tied to the images that show them (by visually correlating with the image from the previous year):
The final step in IIE post-processing for a route/direction consists of the creation of a Concatenated JPEG Library file (".CJL") and an "upgrade file" (containing a new route index for use by the end-user). The CJL file serves as a single container for all images for a route/direction.
DH ImageServer sends CJL route images to requesting users via the DigitalHIWAY System protocol layered on top of standard TCP/IP protocol. The software runs as a service on any Microsoft Server-based PC and can be administered locally or remotely with the DigitalHIWAY ImageServer Controller. DH ImageServer distributes the index-file-updates created by IIE to client workstations. Client software upgrades and repairs are also done this way, maintaining uniformity and compatibility for all end-users.
DH Client resides on individual PC workstations throughout ConnDOT and other State Agencies. After completing the installation and starting the software, the general user interface consists, first, of a simple list of all state-maintained highways ordered by route and direction that the client is prompted to select from. After the client selects a route the software loads the first CJL image representing the start of that route and direction along with a forward and reverse motion control window, HDTV image window and an interactive link to traditional linear referencing locations along each roadway.
