Specifications include, but are not limited to: Project Initiation – Selected Vendor shall meet with City Staff and review data provided by the City, review database software options and integration with GIS software products, review street network layout, evaluation of streets, previous maintenance program and practices, etc. Any existing prior spreadsheet of roadway segments shall be reviewed to discuss current business practices and determine pavement segment requirements. Review Existing GIS Mapping –Vendor shall work with the City’s GIS Management team and will ensure roadway data can be coordinated with the City’s developing system. Network Referencing – Develop survey routing maps and confirm the linkage of the road segmentation to the City’s database and GIS for the approximately 1, 172 lane miles to be included in this project. City street database will be segmented into 100ft segments per individual lane. Pavement Condition Data Collection – Selected Vendor will utilize a sensor- collection platform to automatically collect continuous road surface data. At a minimum, system should utilize the following sensor technologies: 3D surface imaging technology IMU enabled GPS for geo-locating of pavement and asset information Geo-tagged 360-view optical camera systems providing high resolution full-color imagery Technology to collect ride quality in the International Roughness Index (IRI) format All systems and data streams should be GPS geotagged and time synchronized to within 2 msec. All survey work shall be performed on dry pavement and in lighting conditions that assure usable data. All GIS components (data) must be compatible with ESRI software and ESRI file formats. Data Processing and QA/QC – Selected vendor shall conduct daily quality assurance measures to check the accuracy and consistency of the data collected. The vendor will perform data reduction, analysis, and QA/QC of collected data. Data Formatting and Loading –City requires the formatting of the data and load the data into any software that the City chooses to purchase for analyzing the data. This includes verifying that all data related to pavement sections is available within the GIS layer with all necessary data, such as PCI, Road Classification, Road Surface Type, Photos, etc.