A STATEWIDE DYNAMIC TRAVEL DEMAND FORECASTING MODEL DEVELOPMENT SYSTEM
Edward J. Bromage, Joseph N. Springer
Abstract
Edward J. Bromage, Joseph N. Springer
Abstract
The North Carolina Department of Transportation (NCDOT) has found that having a statewide modeling process/database, in contrast to a statewide model is a more efficient means for developing project specific travel demand forecasting models. This statewide modeling process is actually a statewide Dynamic Travel Demand Forecasting Model Development System. At the heart of the Statewide Dynamic Travel Demand Forecasting Model Development System is a suite of five core computer programs which access three databases. The databases are: 1) modified Census TIGER Maps; 2) Census STF 1B block statistics; and 3) continually updated State Department of Employment data files. The five core computer programs are: 1) FastNet, an automated network builder; 2) FastZone, an automated zone builder and zone connector; 3) FastEmp, an automated employer geocoding system; 4) WinSynth, an external-external trip table estimator; and 5) TripGen, a spreadsheet trip generation model which links FastZone, FastEmp, and WinSynth project files. For each NCDOT project, all data files are linked by way of a project folder system. The NCDOT databases and library of programs reside on a local area network and are accessible by more than 70+ planning branch employees. This paper reviews the technical issues involved in the creation of a Statewide Dynamic Travel Demand Forecasting Model Development System. The paper will also review a case study where the software and databases were used to develop a bypass analysis project model.
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The North Carolina Department of Transportation (NCDOT) has found that having a statewide modeling process/database, in contrast to a statewide model is a more efficient means for developing project specific travel demand forecasting models. This statewide modeling process is actually a statewide Dynamic Travel Demand Forecasting Model Development System. At the heart of the Statewide Dynamic Travel Demand Forecasting Model Development System is a suite of five core computer programs which access three databases. The databases are: 1) modified Census TIGER Maps; 2) Census STF 1B block statistics; and 3) continually updated State Department of Employment data files. The five core computer programs are: 1) FastNet, an automated network builder; 2) FastZone, an automated zone builder and zone connector; 3) FastEmp, an automated employer geocoding system; 4) WinSynth, an external-external trip table estimator; and 5) TripGen, a spreadsheet trip generation model which links FastZone, FastEmp, and WinSynth project files. For each NCDOT project, all data files are linked by way of a project folder system. The NCDOT databases and library of programs reside on a local area network and are accessible by more than 70+ planning branch employees. This paper reviews the technical issues involved in the creation of a Statewide Dynamic Travel Demand Forecasting Model Development System. The paper will also review a case study where the software and databases were used to develop a bypass analysis project model.
Key concepts: Geocoding, Demand forecasting, Computer science, Table (database), Suite, Operations research, Transport engineering, Process (computing)