Vehicular Motion Data Analysis

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07/20/22 1 Vehicular Motion Data Vehicular Motion Data Analysis Analysis Team Minnesota Grand Rapids & Bigfork Mark Adams Robert Shaner Wayne Kruse Beth Waskosky

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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 - PowerPoint PPT Presentation

Transcript of Vehicular Motion Data Analysis

Page 1: Vehicular Motion Data Analysis

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Vehicular Motion Data AnalysisVehicular Motion Data Analysis

Team Minnesota

Grand Rapids & BigforkMark Adams

Robert Shaner

Wayne Kruse

Beth Waskosky

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Project Goals for StudentsProject Goals for Students

Define dependent and independent variables

Develop a preliminary modelDesign an experiment to test modelCollect and Analyze Data Adjust Model

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Project DescriptionProject Description

Describe and analyze the motion of a vehicle while braking.

Part 1 - Linear

Part 2 - Circular Motion

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ProcessProcess

Modeling using StellaData Collection using MBL and CBLAnalyze and Communicate Data

Results using ExcelCorrelating the model with real world

data

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Model ExampleModel Example

Vehicle Motion

Momentum

Velocity

Initial Velocity

acceleration

Friction

Mass

Inertia

Turning Radius

Outside Infuences

Reaction times

Road Conditions

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DataData

Mass of Car Initial Speed Stopping Time Stopping Distance

lbs miles/hr sec meters 5000 50 1.4 220 5000 40 1 139 5000 30 0.7 100 5000 20 0.5 50 5000 10 0.4 25 5000 0 0 0

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TimelineTimeline

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