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Traffic Characteristics <br />As part of defining traffic patterns and characteristics in the study area, two initiatives were <br />undertaken. First, historical data on traffic volumes, growth of those volumes over time, as well <br />as data on the types and speeds of vehicles using the facility was collected and analyzed. <br />Second, a traffic analysis was done to determine the current level of service at key intersections. <br />These two initiatives provided insight on how CR 116 currently functions. <br />Traffic Volumes <br />Historic traffic volumes in the study area show a significant amount of growth between 1996 and <br />2000 (Table 1). According to Mn/DOT traffic flow maps, most of County Road 116 experienced <br />over a 50 percent increase in traffic during that time period. This breaks down to over a 7 to <br />11 percent -per -year growth rate. Typical growth rates are in a range of 2 percent to 5 percent per <br />year. Table 1 shows the historic traffic volumes as well as the growth in daily traffic between <br />1996 and 2000. <br />Table 1 <br />Historic Traffic Volumes <br />Segment <br />General Location <br />Average Daily Traffic <br />Volumes* <br />Percent Growth <br />Between 1996 <br />and 2000 <br />Annual Traffic <br />Growth <br />(percent) <br />1996 <br />1998 <br />2000 <br />A <br />CSAH 7 (7th Ave.) <br />to TH 47 <br />9,300 <br />11,200 <br />12,500 <br />34.4 <br />7.7 <br />B <br />TH 47 to CSAH 57 <br />(Sunfish Lake Blvd.) <br />4,500 <br />6,450 <br />7,750 <br />72.2 <br />14.6 <br />C <br />CSAH 57 (Sunfish Lake <br />Blvd.) to Sunwood Dr. <br />4,000 <br />4,000 <br />6,100 <br />52.5 <br />11.1 <br />D <br />Sunwood Dr. to CSAH <br />83 (Armstrong Blvd.) <br />2,300 <br />2,600 <br />3,500 <br />52.2 <br />11.1 <br />* Source: Mn/DOT flow maps <br />In November 2001, SRF Consulting Group was asked to collect existing traffic volumes at three <br />locations along County Road 116. The data was collected using traffic tube counters in order to <br />obtain data for a full 24 hours. The data was analyzed to determine daily and peak -hour <br />volumes. Table 2 summarizes the daily volume data that was collected. <br />SRF Consulting Group, Inc. 6 February 2004 <br />