Master Transportation Plan Medium-Term Modeling Analysis
The count data collected from TxDOT TCDS did not include break-down by vehicle class for most of the locations, therefore a post-processing step was needed to split the daily count data into vehicle classes and time periods. Based on existing modelled data, the daily traffic counts were divided into time periods (AM, PM, OP) and four vehicle classes -Drive Alone (DA), Shared Ride (SR), Medium Truck (MT), and Heavy Truck (HT). This process was done at the link level, providing individual splits by direction and vehicle class for each location. As a final step, the 12 classes from the NCTCOG TDM were aggregated into the four vehicle classes (DA, SR, MT, HT) to simplify the calibration process and considering that it is not possible to obtain traffic count targets at this level of granularity. 3.2.2 Pre-calibration Process The calibration was done for 2023 modelling year which is not part of the NCTCOG 2050 Mobility Plan TDM files. Therefore, the demand (trip tables) and network were prepared by the modelling team. The 2023 interpolated matrix was used as the base demand input for calibration, as described previously. Network preparation included a detailed comparison between the 2050 Mobility Plan NCTCOG’s 2026 network and the 2045 NCTCOG Mobility 2023 network to identify differences in roadway facilities. Two types of adjustments were made: (1) new roadways coded in the 2026 network but not present in 2023 were removed, and (2) links with increased lane counts in 2026 were scaled down to match 2023 conditions. A map illustrating the locations of these network changes is provided in Figure 5.
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