2014 Factors as Percent of AADT Graph .pdf

This document is a supporting exhibit to the Maine Department of Transportation's Traffic Count Software as a Service (SaaS) procurement (RFP #202510141), displaying weekly traffic count factor data for 2014. The graph illustrates 2014 weekly group mean factors expressed as a percentage of Average Annual Daily Traffic (AADT), calculated using baseline data from 2011, 2012, and 2013. The chart tracks factors across all 52 weeks of the year, presenting data for three distinct groups and their various combinations (Group I, Group II, Group III, I+II, II+III, and I+III), with factor percentages ranging from approximately 0% to 180% of AADT. This historical traffic pattern data serves as a reference baseline for the comprehensive traffic monitoring system that MaineDOT seeks to implement, which will manage approximately 5,000-7,000 annual portable short-duration counts, 130+ continuous count sites, 22 continuous turning movement sites, and 16 weigh-in-motion sites beginning January 10, 2026.

The graph provides critical seasonal and weekly variation data necessary for traffic count normalization and analysis within MaineDOT's existing traffic monitoring framework. This supporting documentation demonstrates the department's established methodology for categorizing and analyzing traffic patterns by week and group classification, which the selected vendor must accommodate within the proposed SaaS platform. The data indicates significant weekly fluctuations in traffic factors throughout the year, with certain weeks experiencing traffic volumes exceeding 140% of AADT, information essential for the vendor to understand existing departmental practices and ensure proper data processing, quality control, and reporting functionalities within the new system.