CEE 123 Transport Systems 3: Planning & Forecasting Spring 2019: Michael G. McNally (mmcnally-at-uci-dot-edu) [15460] |
Project: || Prior Study | Task 1 | Task 2 | Task 3 | Task 4 | Task 5 | Tasks 6-7 | Deliverables | Home The Miasma Beach Transportation ModelTask 4. DEMAND FORECASTING: TRIP DISTRIBUTION The last task involved the calibration of a set of trip generation models for the six internal zones. This next task applies a trip distribution model to obtain 2010 trip matrices for the three trip purposes of the generation models. Subsequent matrix adjustments include PA to OD conversion, factoring by time-of-day, and conversion of person to vehicle trips for trip assignment. Interactions with the external area are introduced in Task 5.
4.1 Base Trip Distribution Model Application The output of the Task 3 Trip Generation procedure serves as one of two basic inputs to the Task 4 Trip Distribution procedure. The conventional Gravity Model distributes trips from production zones to attraction zones as a function of zonal productions and zonal attractions, both outputs of trip generation, and of some function of travel impedance. This measure of spatial separation is often taken as uncongested automobile network travel times, although most applications feed back congested travel times from trip assignment (often by weighted mode travel times). The gravity model can be singly-constrained (paired with attraction balancing), or doubly constrained, where all productions and attractions remain balanced in the estimated trip matrix. TransCAD can either calibrate a Gravity Model (i.e., estimate the function of travel impedance, or "friction factors"), or it can validate or forecast with an existing calibrated model. 2020 Model Analysis:
4.1.1 Open Input Data 4.1.2 Appending Friction Factors Check if there is a friction factor look up table (matching the values in Table 5) as part of the TransCAD dataset for Miasma Beach. If not, this file must be created. TransCAD uses the friction factor lookup table to generate friction factors for each zone pair.
4.1.3 Utilizing K-Factors
4.2 Applying A Gravity Model This task utilizes the Task 4 Trip Generation results with the Task 4.1 Friction Factor Analysis to apply a Doubly-constrained Gravity Model and produce a trip table for each defined trip purpose.
TransCAD generates P-A flow matrices that match the productions and/or attraction vectors based on the structure of the friction factor matrix. TransCAD evaluates the 3 models, displays a Summary dialog box (with access to a Notepad file), indicates whether the three models converged, and also displays a matrix view (P-A) containing the results.
4.3 Model Output Adjustments The trip table produced in Task 4.2 contains Production-Attraction distribution matrices for three trip purposes (see p-a.mtx file). These matrices represent total 24-hour person trips and must be converted to Origin-Destination vehicle trips for a defined analysis period (such as the AM-peak hour for Miasma Beach) prior to trip assignment. 4.3.1 Conversion from P/A Format to O/D Format Using the base year Miasma Beach Origin-Destination Survey, the percentages of trips by time-of-day were computed and are displayed in Table 6a. An hourly breakdown of trip percentages by time-of-day is provided in Table 6b. Tables 6a is (and 6b can be) used by TransCAD to extract appropriate O/D matrices from the 24-hour trip matrices and simultaneously convert person-trips to vehicle-trips. 2021 Model Analysis: Table 6a. Temporal Distribution of Trips by Purpose ------------------------------------------------------------------ -- HBW -- -- HBO -- -- NHB -- Analysis Period PA AP PA AP PA AP ------------------------------------------------------------------ 1-hr AM-peak (7-8 am) 0.15 0.00 0.04 0.01 0.03 0.03 1-hr PM-peak (5-6 pm) 0.03 0.10 0.03 0.05 0.04 0.04 Full AM-peak (7-9 am) 0.28 0.00 0.08 0.02 0.04 0.04 Full PM-peak (4-7 pm) 0.05 0.30 0.09 0.15 0.12 0.12 Off-peak (other) 0.17 0.20 0.33 0.33 0.34 0.34 ------------------------------------------------------------------
4.3.2 Conversion from Person Trips to Vehicle Trips Table 7. Base Year Vehicle Occupancy by Trip Purpose [S'21] ----------------------------------------------------------------- Type Trip purpose Average Vehicle Occupancy ----------------------------------------------------------------- 1. HBW Home-based Work 1.10 persons/vehicle 2. HBO Home-based Other 1.40 persons/vehicle 3. NHB Non-home-based 1.20 persons/vehicle ----------------------------------------------------------------- Model Adjustments:
4.3.3 Creation of Total Purpose File
4.4 Interim Report Prepare a Task 4 Interim Report documenting trip distribution model development. Append a project Glossary containing at least four key terms from the Task 4 analysis (extending the Glossary from Task 3). Include graphics and auxiliary material. Follow Report Style Guidelines in the preparation of this report. This report will be submitted as part of Interim Report 2 with the results of Tasks 3 and 5. |
Miasma Beach Project -- Task 4 | [ back to top ] |
[ | Last modified: 28 Apr 2021 | terms of use | © mgm ] |