2014 Factors.pdf
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- Traffic Count Software as a Service (SaaS)
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- RFP - 17A - 202510141
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- Maine
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This is a 2014 weekly group mean factors document containing traffic count data organized by week number, month, and date throughout the calendar year. The data presents three primary group categories (Group I, Group II, and Group III) representing Urban, Arterial, and Recreational classifications respectively, with combined factors calculated for various group pairings (Groups I+II, II+III, and I+III). The factors represent averages derived from data collected during 2011, 2012, and 2013, providing year-over-year comparative metrics. The document tracks 52 weeks of data beginning December 29 and continuing through December 21, with weekly factors ranging from lows of 0.64 to 0.67 in summer months (July-August) and highs of 1.57 in early January, indicating significant seasonal variation in traffic patterns throughout the year.
The data demonstrates clear seasonal trends with Group III (Recreational) factors showing the most pronounced fluctuations, declining substantially from winter peaks above 1.50 in January to summer lows around 0.64-0.71 in July-August, before recovering in fall and winter months. Group I (Urban) factors remain relatively stable with minimal seasonal variation, typically ranging between 0.86 and 1.13, while Group II (Arterial) factors show moderate seasonal patterns between 0.78 and 1.24. The combined factor calculations (I+II, II+III, I+III) provide blended metrics useful for comprehensive traffic analysis across different roadway classifications. This type of factor data is typically utilized by transportation agencies for traffic count extrapolation, data normalization, and annual average daily traffic (AADT) calculations to account for seasonal variations in traffic volume patterns.
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Weekly Group Mean Factors
Average: 2011, 2012, 2013
Month Urban Arterial Recreational Group Group Group Year
Month Start Date Dates Week # Group I Group II Group III I + II II + III I + III Week #
Dec 29 1 1.00 1.12 1.38 1.06 1.25 1.19 1
Jan 05 2 1.09 1.21 1.53 1.15 1.37 1.31 2
12 3 1.08 1.22 1.53 1.15 1.38 1.31 3
19 4 1.06 1.20 1.50 1.13 1.35 1.28 4
26 5 1.09 1.24 1.57 1.17 1.41 1.33 5
Feb 02 1 1.01 1.13 1.41 1.07 1.27 1.21 6
09 2 0.99 1.11 1.39 1.05 1.25 1.19 7
16 3 1.01 1.07 1.31 1.04 1.19 1.16 8
23 4 1.07 1.20 1.48 1.14 1.34 1.28 9
Mar 02 1 1.01 1.12 1.37 1.07 1.25 1.19 10
09 2 0.99 1.10 1.34 1.05 1.22 1.17 11
16 3 1.03 1.17 1.38 1.10 1.28 1.21 12
23 4 1.00 1.12 1.32 1.06 1.22 1.16 13
30 5 0.96 1.08 1.27 1.02 1.18 1.12 14
Apr 06 1 0.97 1.08 1.25 1.03 1.17 1.11 15
13 2 0.97 1.05 1.11 1.01 1.08 1.04 16
20 3 0.96 1.06 1.18 1.01 1.12 1.07 17
27 4 0.92 1.03 1.12 0.98 1.08 1.02 18
May 04 1 0.92 1.00 1.09 0.96 1.05 1.01 19
11 2 0.92 0.98 1.04 0.95 1.01 0.98 20
18 3 0.91 0.95 0.96 0.93 0.96 0.94 21
25 4 0.89 0.94 0.95 0.92 0.95 0.92 22
Jun 01 1 0.89 0.94 0.94 0.92 0.94 0.92 23
08 2 0.90 0.91 0.90 0.91 0.91 0.90 24
15 3 0.89 0.89 0.82 0.89 0.86 0.86 25
22 4 0.90 0.87 0.77 0.89 0.82 0.84 26
29 5 0.86 0.79 0.67 0.83 0.73 0.77 27
Jul 06 1 0.88 0.83 0.71 0.86 0.77 0.80 27
13 2 0.88 0.81 0.68 0.85 0.75 0.78 29
20 3 0.89 0.80 0.67 0.85 0.74 0.78 30
27 4 0.87 0.78 0.64 0.83 0.71 0.76 31
Aug 03 1 0.89 0.77 0.64 0.83 0.71 0.77 32
10 2 0.89 0.78 0.66 0.84 0.72 0.78 33
17 3 0.89 0.80 0.68 0.85 0.74 0.79 34
24 4 0.89 0.84 0.76 0.87 0.80 0.83 35
31 5 0.89 0.89 0.87 0.89 0.88 0.88 36
Sep 07 1 0.91 0.91 0.90 0.91 0.91 0.91 37
14 2 0.91 0.91 0.94 0.91 0.93 0.93 38
21 3 0.92 0.91 0.96 0.92 0.94 0.94 39
28 4 0.90 0.87 0.98 0.89 0.93 0.94 40
Oct 05 1 0.92 0.90 0.98 0.91 0.94 0.95 41
12 2 0.93 0.95 1.04 0.94 1.00 0.99 42
19 3 0.95 0.99 1.11 0.97 1.05 1.03 43
26 4 0.96 1.06 1.22 1.01 1.14 1.09 44
Nov 02 1 0.96 1.03 1.22 1.00 1.13 1.09 45
09 2 0.96 1.02 1.22 0.99 1.12 1.09 46
16 3 0.98 1.03 1.24 1.01 1.14 1.11 47
23 4 0.98 1.06 1.27 1.02 1.17 1.13 48
30 5 0.97 1.09 1.29 1.03 1.19 1.13 49
Dec 07 1 0.99 1.10 1.32 1.05 1.21 1.16 50
14 2 1.00 1.11 1.36 1.06 1.24 1.18 51
21 3 1.13 1.20 1.47 1.17 1.34 1.30 52
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