Speaker: Richard Tillery, AICP
Abstract: The primary objective of travel demand forecasting is to predict the effects of various policies, programs, and projects on highway and transit facilities. These impacts are commonly quantified by representing the projected demand in terms of forecasted traffic volumes and transit ridership. The most obvious use of demand modeling is in the long range element of a transportation plan, where such models are used to analyze long range land use and transportation system alternatives. In the plan refinement stage of a transportation plan, modeling is used to develop specific estimates of future year traffic volumes, and levels of congestion. In the transportation systems management (TSM) element, demand models can be used to predict system-wide effects of various short range improvements. Finally, demand forecasting models should play an important role in the continuing planning process. In this process, transportation network and land use information are continually reevaluated and updated in response to more detailed studies on project corridor planning, final project design, and site impact analyses. This presentation will discuss the travel demand forecasting process, the current state of the practice of modeling in Florida and the future of modeling including the ongoing transition from traditional four step models to more detailed activity based models.
Speaker: David Stroud, PE, AICP
Abstract: Florida is implementing over 100-miles of managed lanes to alleviate congestion. A managed lane planning process and a set of tools were created during the planning, designing and implementing individual managed lane segments on I-95, I-595, I-75 and the Palmetto freeways. This presentation will describe the managed lane planning process and application of analysis tools that were created to plan these system segments and a 64-mile portion of I-95 Express.
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