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INTRODUCTION This report summarizes the results of a traffic analysis conducted for the proposed SuperTarget redevelopment in Roseville, Minnesota. The new store will replace an existing Target facility in the northeast quadrant of Snelling Avenue (TH 51) and County Road B(see site plan shown in Figure I). In addition to the new SuperTarget, the proposed redevelopmentwill include two small retail units, a sit-down restaurant and a fast food restaurant. To improve traffic operations on County Road B, a median will be constructed between Snelling Avenue and State Farm Road. The median will reduce traffic conflicts and delineate longer I,� turn lanes. The roadway changes will focus existing traffic and added traffic demand that crosses County Road B to the signalized intersection at State Farm Road. The remainder of this report contains sections summarizing the: • Existing Conditions • Changes to Roadway Network • Traffic Forecast Methodology and Assignment • Traffic Analysis • Potential Mitigations • Conclusions EXISTING CONDITIONS To determine the traffic impacts caused by the planned development, it was first necessary to documentthe existing conditions. For this task, aerial photographsof the site area were assembled, reviewed and used as base maps. In addition, field visits were conducted to record existing roadway geometry and to observe peak period traffic operations. As part of this field site survey, intersection photos were taken to further document existing field conditions. After this background information was gathered, a turn movement count data collection plan was prepared and provided to the City for review. Based on the City review the plan was finalized, resulting in peak period turn movement counts at 9 intersection locations (see Appendix Figure A-1 for the count locations). On Tuesday, December 2,2003, the tum movement counts were conducted for both the AM and PM peak periods for all of the locations identified in the data collection plan. With counts done in early December in this commercial area, the traffic volumes represent a conservative or "worst case" type of timefiame, as the data are from the early holiday season, rather than the typical average daily volumes. The AM and PM peak hour traffic demands were identified and summarized by intersection and reviewed for quality assurance. One intersection with an apparent count anomaly was recounted. With all of the data collected and checked, the single peak hour was extracted and summarized from the peak period data collection efforts. The existing AM and PM peak hour turning movement counts for the entire area are shown in Appendix Figure A-I. Page 1