DRIVE Net: A Large-Scale Online Data Platform for Performance Analysis and Decision Support Yinhai Wang PacTrans STAR Lab University of Washington Email:

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Presentation transcript:

DRIVE Net: A Large-Scale Online Data Platform for Performance Analysis and Decision Support Yinhai Wang PacTrans STAR Lab University of Washington For the 2015 Oklahoma Transportation Research Day Oct. 20, 2015

PacTrans STAR Lab Research on DRIVE Net Background

PacTrans STAR Lab Research on DRIVE Net 2 Background From the Bureau of Transportation Statistics, National Transportation Statistics 2007

PacTrans STAR Lab Research on DRIVE Net 3 Picture source: Background Over 65,000 U.S. bridges in need of repair! To eliminate the nation’s bridge deficient backlog by 2028, $20.5 billion is needed annually.

PacTrans STAR Lab Research on DRIVE Net Key Questions Need Answer 4 Key questions that need to be answered: Which infrastructure piece is the most critical for the roadway network? How to quantify the benefit from a transportation investment? What is the impact of a road construction project on travel? Which infrastructure design is greener consider life-cycle operational impacts? Where do pedestrians go and how to improve their safety? How to improve transit services without adding new resources? Where do trucks go and how to guide them to the best routes? …

PacTrans STAR Lab Research on DRIVE Net Data Hurdles 5 To answer critical transportation questions and make informed decisions, we need

PacTrans STAR Lab Research on DRIVE Net Data Hurdles 6 Segmented by jurisdictions Lack of standardization

PacTrans STAR Lab Research on DRIVE Net Age of Big Data 7 Traffic Sensors Transportation Big Data!

PacTrans STAR Lab Research on DRIVE Net Age of Big Data 8 Image sources:

PacTrans STAR Lab Research on DRIVE Net Challenges to Transportation Professionals Extract Values from Big Data Streams High volume and high velocity High variety and high variability Methods and tools to take values out Manage Big Data Spatial and temporal features Storage and query efficiencies Privacy protection Understand and Use Big Data Problems with classical transportation theory Weak data training in transportation curriculum Isolated to systematic view 9

PacTrans STAR Lab Research on DRIVE Net Research Needs 10 Proposed actions to address the gaps: Actively pull what we need from the existing data resources Build our own stream of big data Design a standard mechanism for connecting transportation related datasets Develop e-science transportation methods to take advantage of the spatial and temporal datasets to support transportation analysis and decision making Build big data analytics tools to facilitate usage of big data Develop new courses in transportation curriculum to make our students/working professionals ready for the big data era

PacTrans STAR Lab Research on DRIVE Net Research Needs 11 What is e-science?  Computationally intensive science that is carried out in highly distributed network environments  Application of computer technology to the undertaking of modern scientific investigation E-science of transportation:  Computationally intensive science for scientific investigations in transportation issues using immense data sets

PacTrans STAR Lab Research on DRIVE Net Research Example Digital Roadway Interactive Visualization and Evaluation Network (DRIVE Net) currently being developed at the Smart Transportation Applications and Research Laboratory (STAR Lab) of the University of Washington. DRIVE Net is a system for the data sharing, visualization, modeling, and analysis Web-based system for e-Science investigations Real-time traffic visualization Data sharing platform Statistical Modeling Vehicle emissions quantification Mobile Sensing Freeway Performance Measurement 12

PacTrans STAR Lab Research on DRIVE Net DRIVE Net Architecture 13

PacTrans STAR Lab Research on DRIVE Net DRIVE Net Data Sources Online Data Sources WSDOT 20-second loop data INRIX Data GPS Truck Data Bluetooth Data FHWA HERE Data Geospatial Data DOT shape files OpenStreetMap Geographic Data Offline Data WITS (Washington Incident Tracking System) and Weather Data More Data to Come HPMS Volumes Ferry Terminal Conditions Bicycle Data 14

PacTrans STAR Lab Research on DRIVE Net

DRIVE Net: LOS Map 16

PacTrans STAR Lab Research on DRIVE Net DRIVE Net: Congestion Report

PacTrans STAR Lab Research on DRIVE Net DRIVE Net: Traffic Flow Map 18

PacTrans STAR Lab Research on DRIVE Net DRIVE Net: Incident-Induced Delay Analysis 19

PacTrans STAR Lab Research on DRIVE Net DRIVE Net: Freight System Performance 20

PacTrans STAR Lab Research on DRIVE Net DRIVE Net: Emission 21

PacTrans STAR Lab Research on DRIVE Net DRIVE Net: Freeway Traveler Information 22

PacTrans STAR Lab Research on DRIVE Net DRIVE Net: Mountain Pass Condition Information and Boarder Crossing Wait Time 23

PacTrans STAR Lab Research on DRIVE Net DRIVE Net: Safety Performance Measurement 24

PacTrans STAR Lab Research on DRIVE Net 25 DRIVE Net: Travel Time Reliability Analysis

PacTrans STAR Lab Research on DRIVE Net 26 DRIVE Net: Extracting Elevation Data for Safety and Performance Analysis Elevation data for each direction at every 10 ft!

PacTrans STAR Lab Research on DRIVE Net DRIVE Net: Pedestrian Detection 27 BT GSM

PacTrans STAR Lab Research on DRIVE Net DRIVE Net: Pedestrian Detection 28

PacTrans STAR Lab Research on DRIVE Net 29 DRIVE Net: Transit Performance Analysis

PacTrans STAR Lab Research on DRIVE Net 30 Thanks for your attention! Acknowledgment This project is partly funded by Washington State Department of Transportation (WSDOT) and PacTrans. We appreciate their funding support!