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Debra Bloom,, P.E. July 13, 2011 City of Roseville Page 6 As previously mentioned, average daily traffic volumes were collected to help determine the percent capture of license plates. The percent capture is used to gauge the statistical reliability of the data collected. Based on the comparison between the p.m. peak hour data collected from the average daily traffic counts and the license plate O-D study, the average percent capture was approximately 90 percent, which represents a reliable data set. The license plate data was reviewed and matches identified to develop an understanding of the current travel patterns within the study area. Based on the current travel pattern information, the amount of traffic that may potentially shift to County Road C2 can be determined if the connection were constructed. It should be noted that the peak hour data collected as part of the O-D data collection effort was extrapolated to daily values using the tube count data to identify the percent peak hour proportion. A summary of the current travel patterns and daily traffic volumes using the specific traveled routes are shown in Figures 5 through 8. Please note that this set of figures also presents the amount of traffic that can be expected to shift to County Road C2 if it were connected through. How this was determined is discussed in the following section. TRAVEL PATTERN SHIFT'S Local Travel Pattern Shiifts, The license plate O-D data and subsequent travel time comparisons were reviewed in order to estimate how much traffic can be expected to shift to County Road C2 if it were connected. Please note,, never will 100 percent of drivers change their travel pattern if the connection were constructed; the current routes may have some travel time benefit or operational benefit that make them attractive. The new route must be significantly quicker in order to get a large amount of people to change their current pattern. Travel times for the routes that could have drivers shift to County Road C2 were developed. The travel times were calculated using a combination of the length of the route, the average speed, and specific intersection delays. The travel times were categorized into groups based on the general travel pattern (i.e. southwest to/from northeast) and include an estimated travel time for the potential route using a County Road C2 connection. A route diversion curve was used to determine the amount of vehicles that can be expected to change their travel pattern. 50 Ro�ute Diversion Curvi -a i6 Q- 40 E :3 E 30 Z 20 I 0 5 10 15 20 25 30 35 T'ravell Tirne Percent Difference Between, Routes Thiit s cun lie o)' as ide'vellopeld basienid on informa-flon ounipflield byr Roger Creighton Assioc. Inc_ N , Y. I .7igure 4.1 Route Diversion Curve