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Truck Fleet Data Display for Burlington Department of Public Works

Truck Fleet Data Display for Burlington Department of Public Works. University of Vermont Senior Experience in Engineering Design. The Team. University of Vermont Undergraduates: Yago Alonso Garcia – Electrical Engineering Kenn Austin – Computer Science Matt Clark – Mechanical Engineering

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Truck Fleet Data Display for Burlington Department of Public Works

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  1. Truck Fleet Data Display for Burlington Department of Public Works University of Vermont Senior Experience in Engineering Design

  2. The Team • University of Vermont Undergraduates: • Yago Alonso Garcia – Electrical Engineering • Kenn Austin – Computer Science • Matt Clark – Mechanical Engineering • Alex Estey – Mechanical Engineering • University of Vermont Faculty Advisor: • Jeff Frolik – Electrical Engineering • Burlington Department of Public Works: • Norm Baldwin – Assistant Director of Public Works

  3. The Customer • Burlington Department of Public Works (BDPW) • Responsible for approximately: • 240 lane-miles of road • 220 miles of sidewalk • 14 Full time employees working within the Right of Way (R.O.W.) workgroup • Fleet: • 10 Full-sized Trucks with Wing Plows • 3 Mid-Sized Trucks • 3 Bucket Loaders • 12 Sidewalk Tractors

  4. The Problem • Develop an operational tracking system for BDPW’s fleet of Snow Removal and Deicing Vehicles • System must be real time • Collect data for: • Position (GPS) • Speed • Salt Spreading • Temperature (Road and Ambient) • Plow Engagement • All data sent back to BDPW real-time • Data Displayed in Easily Readable Format For BDPW Customer Support and Management

  5. Motivation For Tracking System • No Real-Time Accountability For Road and Sidewalk Clearing • Better Response Customer Inquiries • Alter Deployment to Respond to Varying Conditions • Analyze Clearing Schemes For Improved Response

  6. Potential Solution: Data Collection • Cirus Controls SpreadSmart RxTM • Collects Data For: • Position via GPS • Speed • Salt Spreading • Temperature (Road and Ambient) • Plow Engagement • Drive-By Download of Data via Wi-Fi Router • Not Real-Time • Scalable • Maintainable Long-Term

  7. Potential Solution: Data Collection • Motorola Digital Mobile Radio • Tracks Location (GPS) • Sends Data Over Digital Radio Channel • Real-time • Service Charge to use radio network • Limited capabilities for integration with other sensors • Scalable

  8. Our Solution • Integrate Cirus Controls Logger System with Broadband Enabled Ruggedized Tablet PC • Real-Time • Sensor Integration with Logger Already Established • Ruggedized Tablet PC to withstand harsh operating environment

  9. The Data Flow: Collection • Sensors: • Location • Speed • Salt Spreading • Temperature • Plow Engagement Cirus Controls Logger Tablet PC

  10. The Data Flow: Distribution Verizon Wireless Broadband Network Card Tablet PC MySQL Database On City of Burlington Server BDPW

  11. Data Display Software Application • Raw Data From Cirus Logger Is Converted to a Shape File (ArcGIS Format) at BDPW • Data is Displayed in a Program Developed in Visual Basic with the Assistance of the ArcGIS Software Development Kit (SDK)

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