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Vehicular Motion Data Analysis

Vehicular Motion Data Analysis. Team Minnesota Grand Rapids & Bigfork Mark Adams Robert Shaner Wayne Kruse Beth Waskosky. Project Goals for Students. Define dependent and independent variables Develop a preliminary model Design an experiment to test model Collect and Analyze Data

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Vehicular Motion Data Analysis

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  1. Vehicular Motion Data Analysis Team Minnesota Grand Rapids & Bigfork Mark Adams Robert Shaner Wayne Kruse Beth Waskosky

  2. Project Goals for Students • Define dependent and independent variables • Develop a preliminary model • Design an experiment to test model • Collect and Analyze Data • Adjust Model

  3. Project Description Describe and analyze the motion of a vehicle while braking. Part 1 - Linear Part 2 - Circular Motion

  4. Process • Modeling using Stella • Data Collection using MBL and CBL • Analyze and Communicate Data Results using Excel • Correlating the model with real world data

  5. Model Example

  6. Data

  7. Timeline • December • Team will work through project framework for the purpose of working out the bugs • Develop a model of comparison • January • Project will be given to students • February • Student projects handed in for analysis • Comparison to staff model • Metamorphosis to a new model • July • Huntsville, Alabama to finish project

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