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Page 51 of 93 <br /> 5. Travel Time Data and Analysis <br /> The ODOT ITS group has initiated a project to collect travel time data <br /> on major roadways within the MPO area. These data will be made <br /> available to the MPO for download through an ODOT data warehouse. <br /> The MPO will use the data in tracking congestion for the Congestion <br /> Management Process. and in.validating the. travel model. <br /> Tasks Year 1 <br /> ¦ Work with ODOT, PSU and others to determine a process to access <br /> and archive travel time. data.' <br /> ¦ Identify desired products, metadata and other supporting data needs. <br /> ¦ Design and begin programming of the database, access, analysis and <br /> reporting software. <br /> Products Year 1 <br /> Interim report on data collection, software display and reporting tools. <br /> Tasks Year 2 <br /> ¦ Complete software development and installation, and populate the data <br /> base for routine use. <br /> ¦ Develop aweb-accessible interface and provide products to partners and <br /> to the public <br /> ¦ Review data coverage; identify data gaps and data quality issues; and <br /> identify data collection plan for continued collection into the future. <br /> Products~Year 2 <br /> ? Operational travel time database with access and reporting software <br /> Data analysis report, including travel time reliability <br /> 6. Regional Travel Database Development <br /> Develop a comprehensive regional database for traffic counts, transit <br /> data, pavement condition, and expanded infrastructure data to facilitate <br /> regional planning through performance measure analyses and travel <br /> modeling.. The. road centerline database is a county-wide database to <br /> which multiple local agencies contribute, maintain. and access. However, <br /> for other infrastructure components and their characteristics, it is typical <br /> for individual agencies to work within their own boundaries for their own <br /> purposes. This work task will determine the process and resources , <br /> needed to integrate the various data sources into a consistent region- <br /> wide data set for regional trends analysis and modeling. <br /> The major data types to be targeted include traffic counts, transit data, <br /> pavement condition, and expanded infrastructure elements such as bike <br /> network elements, parking,. and traffic signals. Priorities will be based on <br /> the ability to implement an effective and efficient. process to update the <br /> data and to maintain each data base into the future. These data sets will <br /> support calibration and validation of the regional travel model, and be <br /> <br /> Central Lane MPO Unified Planning Work Program FY 2010 and 2011 <br /> <br />