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"��b�t A" <br /> The Consultant will provide on-site training to the planrung stafffrom the City. Two workshops will <br /> be held with City staffduring the trairung program. One for travel demand modeling theory and one <br /> for model application. The objective of the training is to transfer state-of-the-art model techniques <br /> to the City staff, so that they can successfully use the model on future travel demand forecasting <br /> related projects. The training will be conducted in the following tasks. <br /> Taslx 1: IntroduCtion to the Travel Demancl Moc�eling Proeess <br /> The Consultant will conduct a four-day on-site trairung on the basic theory of traditional four-step <br /> modeling process. The topics will include: <br /> ♦ Trip generation <br /> ♦ Trip distribution <br /> ♦ Model split <br /> ♦ Trip assignment <br /> ♦ Highway networlc evaluation <br /> Tas�x 2: Automate t�e Modeling Procesa with a Menu Spstem <br /> Following the introduction ofthe four-step modeling process,the Consultant will introduce the menu <br /> system SISMAT for the Tranplan modeling process. The menu system,developed by the Consultant <br /> previously for IDOT has the capacity to generate batch files necessary to run the Tranplan programs. <br /> The menu system will allow City staffto run the Tranplan model easily,eliminating the need to learn <br /> the Tranplan control file language and provide a consistent modeling process. <br /> Taslx 3: Moclel Calibration Review <br /> Calibration of travel demand model to replicate existing travel patterns and characteristics. <br /> Replication of base conditions, also known as"calibration" of the model, consists of two issues: <br /> 1)what are the base conditions and 2)what do we do to replicate them. Base conditions consist of: <br /> ♦ Review of the roads to include in the model network <br /> ♦ Accurate description of those streets and intersections <br /> ♦ Review of appropriate traffic analysis zones(TAZ's) for that network <br /> ♦ Accumulation of appropriate and accurate directional traffic counts <br /> ♦ Understanding the traffic on the streets which connects the model network to the outside world <br /> in terms of internal-e�ernal interactions versus e�ernal-external or through trip interactions <br /> Pa�e 1 0� 3 <br />