Scenario run was remade using CUBE v6.4.2. Model runs made to quantify sources of forecasting error as described in Section 1.5, the opening-year For the opening-year forecasts to be consistent with the additional Of writing this report, CUBE v6.4.3 was the latest available version, and the model runs were presumably The model runs included loaded highway networks for both the base and opening years. Model has a base year of 2000 and the modeled opening year for the Eastown project is 2009. That develops the distributions required by the trip generation, and separate truck and external models. Additional components include a household model
The model is a traditional four-step model in CUBE-Voyager software that includes trip generation, tripĭistribution, mode choice, and traffic assignment steps. The travel demand model area included the entire Lima Metropolitan Organization (MPO) region. These model runs have been used to report the predicted traffic on the project. The Ohio Department of Transportation (Ohio DOT) made travel demand model runs available for Project corridor for Eastown Road Extension.ġ.3 Predictedâ∺ctual Comparison of Traffic Forecasts Source: Map data: Google Earth, annotated by NCHRP 08-110 project teamįigure III-H-1. III-H-4 Traffic Forecasting Accuracy Assessment Research Using historical Google Earth images, the opening year wasįigure III-H-1 (next page) shows the project corridor. Other characteristics could not be determined. Hence,Īspects related to project costs, exact opening year, importance of the project to the local community, and The project included a 2.5-mile expansion from 2 lanes to 5 lanes on the segment betweenĮlida Road and West Elm Street and a 1-mile extension further south to Spencerville Road.ĭocumentation of the project forecasts was unavailable at the time of writing this report. The project extended Eastown Road from just north of Elida Road in the north to Spencerville Road If the forecasters had accurate information about the item. Important sources of forecast error and, if so, attempt to quantify how much it would change the forecast Section 1.5 attempts to identify items discussed in Section 1.4 that are It also includes an assessment of theĪccuracy of the exogenous forecasts. Section 1.4 enumerates theĮxogenous forecasts and sources of forecast error for the project. Section 1.3 compares the predicted and actual traffic volumes forĪll roadways in the study area where post-opening traffic counts are available. Traffic forecasts for the project were preparedĪround 2000 for a 2009 opening year. Traffic forecasts for the Eastown Road Extension project. It assesses the reliability and accuracy of The report on this deep dive was written in June 2018. South arterial is located on the western edge of the city of Lima in Allen County, Ohio. Segment of the arterial from 2 lanes to 5 lanes and extended the arterial an additional mile. The Eastown Road Extension was a project in the city of Lima, Ohio that widened a 2.5-mile III-H-64 6.5 Sources Contributing to Forecast Error III-H-63 6.4 Potential Sources of Forecast Error III-H-61 6.3 Predictedâ∺ctual Comparison of Traffic Forecasts III-H-58 6 US-41, Brown County, Wisconsin III-H-2 Traffic Forecasting Accuracy Assessment Research III-H-51 5.4 Potential Sources of Forecast Error III-H-49 5 South Bay Expressway, San Diego, California III-H-45 4.5 Sources Contributing to Forecast Error III-H-44 4.4 Potential Sources of Forecast Error III-H-40 4.3 Predictedâ∺ctual Comparison of Traffic Forecasts III-H-38 4 Cynthiana Bypass, Cynthiana, Kentucky III-H-33 3.5 Sources Contributing to Forecast Error III-H-32 3.4 Potential Sources of Forecast Error III-H-30 3.3 Predictedâ∺ctual Comparison of Traffic Forecasts III-H-29 3 Central Artery Tunnel, Boston, Massachusetts III-H-21 2.5 Sources Contributing to Forecast Error III-H-19 2.4 Potential Sources of Forecast Error III-H-16 2.3 Predictedâ∺ctual Comparison of Traffic Forecasts III-H-14 2 Indian Street Bridge, Palm City, Florida III-H-7 1.5 Sources Contributing to Forecast Error III-H-6 1.4 Potential Sources of Forecast Error III-H-5 1.3 Predictedâ∺ctual Comparison of Traffic Forecasts III-H-3 1 Eastown Road Extension, Lima, Ohio Because it is UNCORRECTED material, please consider the following text as a useful but insufficient proxy for the authoritative book pages. Below is the uncorrected machine-read text of this chapter, intended to provide our own search engines and external engines with highly rich, chapter-representative searchable text of each book.