Type of Document Master's Thesis Author Goldfarb, Daniel Scott Author's Email Address firstname.lastname@example.org URN etd-04052003-152157 Title An Evaluation of Assignment Algorithms and Post-Pro cessing Techniques for Travel Demand Forecast Models Degree Master of Science Department Civil Engineering Advisory Committee
Advisor Name Title Collura, John Committee Chair Hobeika, Antoine G. Committee Member Tignor, Samuel C. Committee Member Keywords
- Travel Demand Forecast
Date of Defense 2003-04-01 Availability unrestricted AbstractAn Evaluation of Assignment Algorithms and Post-Processing Techniques for Travel Demand Forecast Models
Daniel S. Goldfarb
The purpose of this research project was to evaluate the techniques outlined in the National Cooperative Highway Research Program Technical Report 255 Highway Traffic Data for Urbanized Area Project Planning and Design (NCHRP-255), published in 1982 by the Transportation Research Board. This evaluation was accomplished by using a regional travel demand forecast model calibrated and validated for the year 1990 and developing a highway forecast for the year 2000. The forecasted volumes along the Capital Beltway (I-495/I-95) portion located in the State of Maryland were compared to observed count data for that same year. A series of statistical measures were used to quantitatively evaluate the benefits of the techniques documented in NCHRP-255.
The primary research objectives were:
· To critically evaluate the ability of a regional travel demand forecast model to accurately forecast freeway corridor volumes by comparing link forecast volumes to the actual count data.
· To evaluate and determine the significance of post-processing techniques as outlined in NCHRP-255.
The most important lesson learned from this research is that although it was originally written in 1982, NCHRP-255 is still a very valuable resources for supplementing travel demand forecast model output. The “raw” model output is not reliable enough to be used directly for highway design, operational analysis, nor alternative or economic evaluations. The travel demand forecast model is a tool that is just part of the forecasting process. It is not a turn-key operation, and travel demand forecasts cannot be done without the application of engineering judgment.
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