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DRIVE Net: An E-Science Transportation Platform for Big Data, Big Discoveries, and Big Decisions

DRIVE.Net is an online platform that allows for data sharing, visualization, modeling, and analysis of transportation data. It provides real-time traffic information, tools for evaluating and analyzing data, and standardized procedures for making informed decisions.

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DRIVE Net: An E-Science Transportation Platform for Big Data, Big Discoveries, and Big Decisions

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  1. DRIVE Net: An E-Science Transportation Platform for Big Data, Big Discoveries, and Big Decisions PacTrans STAR Lab University of Washington July 17, 2015 John Ash jeash@uw.edu Wenbo Zhu wbzhu@uw.edu

  2. Background What causes congestion and how to mitigate it? How much fuel and time wasted? How much extra pollution caused by traffic jam? Image source: http://static.guim.co.uk/sys-images/Guardian/Pix/pictures/2009/6/18/1245347153341/Traffic-runs-slowly-as-he-001.jpg

  3. Background How to monitor health condition of transportation infrastructure? Which infrastructure piece is the most critical for the roadway network? Picture source: http://en.wikipedia.org/wiki/I-35W_Mississippi_River_bridge

  4. Other Sample Key Questions • How to quantify the benefit from a transportation investment? • How to measure vehicle miles of travel/vehicle hours of travel? • What is the impact of a road construction project on travel? • How to estimate traffic emissions at a given location and time? • What is the impact of toll on users of different income levels? • Where do pedestrians go and how to improve their safety? • Which route deserves top priority to build? • How to improve transit services without adding new resources? • How does congestion form up and how to mitigate it? • How much does an incident cost and how to reduce the cost? • Where do trucks go and how to guide them to the best routes?

  5. Background To answer critical transportation questions and make informed decisions, we need Data! Data! Data?

  6. Data Hurdles Segmented by jurisdictions Lack of standardization

  7. Age of Big Data Traffic Sensors Transportation Big Data!

  8. Age of Big Data Image sources: http://connectedvehicle.challengepost.com/submissions/2912-dsrc-the-roadway-to-intelligent-transportation

  9. Digital Roadway Interactive Visualization and Evaluation Network (DRIVE Net) The system under development at the STAR Lab is called Digital Roadway Interactive Visualization and Evaluation Network (DRIVE Net) • DRIVENet is a system for the data sharing, visualization, modeling, and analysis • Web-based system for e-science investigations • Display real-time traffic information • Data sharing platform • Tools to evaluate and analyze data • Standardized procedures • Data quality control

  10. New Generation Online Platform www.uwdrive.net/DriveNetAlpha

  11. Key Features • HCM Analysis • Maps and Data • Multi-Modal Detection • Travel Time Analysis • Safety Performance • Upcoming Features

  12. Ongoing Functions • Interstate Elevation Data

  13. Interstate Elevation Data • Google Earth elevation extraction tool

  14. Interstate Elevation Data • Interstate elevation curves • Fuel consumption analysis • Grade effects on traffic flow, speed, accidents, etc.

  15. Thanks for your attention! DRIVE Net current developers: RuiminKe Email: ker27@uw.edu Dr. Weibin Zhang Email: wbzhang@uw.edu

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