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MnDOT Contract No. 1028386 Work Order No. 1 <br />Exhibit B <br />Detailed Scope of Work and Deliverables <br /> <br />14 <br />3. 165 <br />th Avenue and TH 10 <br />4. Future Twin Lakes Road/ Kelley Parkway and TH 10 <br />5. 171 <br />st Avenue and TH 10 <br />6. 171 <br />st Avenue and Twin Lakes Parkway <br />7. Alpine Drive and CSAH 83 (Armstrong Boulevard) <br />8. CSAH 83 (Baugh Street) and AC CSAH 22/CR 64 (181 <br />st Avenue) <br />9. Sherburne CSAH 12 (181 <br />st Avenue) and Twin Lakes Road/CSAH 13 <br /> <br />Results of the analysis will identify level of service, delay, and queuing information for each intersection. As the TH 10 <br />corridor continues to transition to a grade-separated freeway type facility, it will become more difficult for motorists to <br />access TH 10 from unsignalized at-grade intersections. To address this issue, we will complete a gap analysis for each <br />side-street stop intersection using information from the site observation along with the existing traffic volumes. <br /> <br />Traffic Forecasting <br />The consultant teams travel demand forecasters will produce forecasts needed to evaluate the TH 10 corridor. The <br />consultant team will build off forecasting efforts from the 169 Redefine and TH 10 Rum River projects and incorporate <br />any additional information that has been developed from the Twin Lakes Road/Kelley Parkway project. <br /> <br />The basis for the travel demand modeling will be the current Anoka County Travel Demand Model, which has detailed <br />local roadway network and land use detail in this area. The model will be reviewed for network accuracy and validated <br />prior to completing future year forecasts. A list of regional and significant local projects in the study area will be <br />developed for use in the no build condition. Improvements will be confirmed based on the State Transportation <br />Improvement Program (STIP), Highway Infrastructure Program (HIP), and local Capital Improvement Program (CIP). <br />Future year land use assumptions will be consistent with the 169 Redefine project. The network and land use <br />assumptions will be verified with the Local Government/Agency and State prior to developing forecasts. <br /> <br />Since the Travel Demand Model is based off year 2040 land use assumptions, year 2040 traffic forecasts will initially be <br />developed. Based off these 2040 forecasts and existing traffic volumes, the consultant team will work with the Local <br />Government/Agency to understand near and long-term development projections for the area. Using this information, the <br />consultant team will develop traffic forecasts for year 2025, 2035, and 2045. Forecasts will be checked against historical <br />rates using traffic data from the automatic traffic recorder (ATR) station 352 that is located along TH 10 at the truck <br />weigh station east of the Sherburne/ Anoka County line. The consultant team will specifically focus on the timing of the <br />planned freeway conversions of TH 10 and TH 169 in the area. These projects will likely influence travel volumes and <br />patterns more than the planned development in the area. <br /> <br />A Travel Demand Forecast Technical memo will document land use and roadway network assumptions, forecast <br />methodology, validation process, model adjustment and future year results. This draft memo will be reviewed and <br />approved by the City of Elk River and MnDOT staff before the traffic operations analysis proceed. <br /> <br />Future Year Traffic Analysis <br /> <br />Year 2025, 2035 and 2045 Operations Analysis <br />Year 2025, 2035, and 2045 conditions analysis will be performed again using VISSIM at each of the previous study <br />intersections to determine any future deficiencies that may require mitigation. This is considered a no build condition <br />assessment that will account for programmed improvements in the study area. Based on the results of the existing, year <br />2025, 2035, and 2045 analysis intersections or corridor segments that experience operational issues under existing and <br />future conditions will be identified and near-, mid-, and long-term improvements will be recommended. <br /> <br />