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Crowdsourced Social Media Monitoring System ... Crowdsourced Social Media Monitoring System Development 5. Report Date: August 2017 6. Performing Organization Code: 7. Author(s): Dr.

May 27, 2020

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  • FINAL REPORT

    Crowdsourced Social Media Monitoring System

    Development

    OFFICE OF RESEARCH 15 KENNEDY DRIVE

    FOREST PARK, GA 30297-2534

  • TECHNICAL REPORT STANDARD TITLE PAGE

    1. Report No.: FHWA-GA-17-1614

    2. Government Accession No.:

    3. Recipient's Catalog No.:

    4. Title and Subtitle:

    Crowdsourced Social Media Monitoring

    System Development

    5. Report Date: August 2017

    6. Performing Organization Code:

    7. Author(s):

    Dr. Amit Kumar, Dr. Catherine L. Ross, Dr. Alex

    A Karner, and Rohan Katyal

    8. Performing Organ. Report No.: 16-14

    9. Performing Organization Name and Address:

    Georgia Tech Research Corporation

    College of Design

    Center for Quality Growth and Regional

    Development (CQGRD)

    760 Spring Street, Suite 213

    Atlanta, GA 30332-0790

    10. Work Unit No.:

    11. Contract or Grant No.:

    2014-32, RES PROJ 16-14

    12. Sponsoring Agency Name and Address:

    Georgia Department of Transportation

    Office of Research

    15 Kennedy Drive

    Forest Park, GA 30297-2534

    13. Type of Report and Period Covered:

    Draft Final; May 2016 – August 2017

    14. Sponsoring Agency Code:

    15. Supplementary Notes:

    Prepared in cooperation with the U.S. Department of Transportation, Federal Highway Administration.

    16. Abstract: Crowdsourcing is a relatively new area of research, but it is already generating an enormous amount of

    interest among both researchers and practitioners, and is finding applications in multiple domains. It is

    particularly useful for efficient traffic management and increasing public participation. Many state DOTs

    are already using crowdsourced technologies and others are exploring its applications for traffic

    management. Researchers are using sensor-rich mobile phones and online social networks for fetching

    data from network users. Despite recent advancements, there remain gaps between the state of the art and

    practice that need to be bridged. Programs like the Waze Connected Citizens Program and Strava Metro

    Data Program are success stories in practice. This study explores the implementation of crowdsourced

    traffic management by Georgia DOT (GDOT) and the challenges specific to them. The reliability of data

    and filtering high volumes of information were found to be the two primary concerns. The team proposed

    a system which can potentially tackle those challenges. The system consists of a mobile application and a

    text mining application that together leverage the existing Twitter technology stack. Based on interviews

    with traffic management professionals and a visit to GDOT, the report contains recommendations that

    would improve the workflow at the TMC. Computer vision, data management and social media analytics

    would be particularly beneficial to decrease operator burden. A system with multiple sources of

    information integrated into one would be particularly beneficial. We are on the cusp of a revolution with

    respect to big data and crowdsourcing. This is the ideal time for GDOT to invest in crowdsourcing

    technologies to reap the benefits in the future.

    17. Key Words: Crowdsourced Traffic

    Management, Social Media Monitoring, Incident

    Management

    18. Distribution Statement:

    19. Security Classification

    (of this report):

    Unclassified

    20.Security

    Classification

    (of this page):

    Unclassified

    21. Number of Pages:

    844

    22. Price:

    Form DOT 1700.7 (8-69)

  • GDOT Research Project No. 16-14

    Draft Final Report

    CROWDSOURCED SOCIAL MEDIA MONITORING SYSTEM DEVELOPMENT

    By Dr. Amit Kumar (Principal Investigator)

    Dr. Catherine Ross (Co-Principal Investigator) Dr. Alex Karner (Co-Principal Investigator)

    College of Design

    Center for Quality Growth and Regional Development (CQGRD) Georgia Tech Research Corporation

    Contract with

    Georgia Department of Transportation

    In cooperation with

    U.S. Department of Transportation

    Federal Highway Administration

    August, 2017

    The contents of this report reflect the views of the author(s) who is (are) responsible for the facts and the accuracy of the data presented herein. The contents do not necessarily reflect the official views or policies of the Georgia Department of Transportation or the Federal Highway Administration. This report does not constitute a standard, specification, or regulation.

  • ii

    Crowdsourced Social Media Monitoring System Development

    Table of Contents Abbreviations ..................................................................................................... vi

    EXECUTIVE SUMMARY ............................................................................. vii

    CHAPTER l. INTRODUCTION ........................................................................ 1

    Organization of the report ......................................................................................... 2

    CHAPTER II. LITERATURE REVIEW ........................................................... 4

    Introduction ............................................................................................................... 4

    Types of Crowdsourcing for Traffic Management ................................................... 5

    Advantages and Disadvantages of Crowdsourcing Types ........................................ 6

    Benefits of Crowdsourcing ................................................................................... 6

    Disadvantages of Crowdsourcing ......................................................................... 7

    Active Crowdsourcing .......................................................................................... 8

    Passive Crowdsourcing ......................................................................................... 8

    Combined Crowdsourcing .................................................................................... 9

    State of the Art .......................................................................................................... 9

    Sensor Based Crowdsourcing Systems ................................................................. 9

    Human Mobility Based Crowdsourcing Systems ............................................... 10

    Gamification Techniques to Encourage Participation ......................................... 11

    Extracting Relevant Data and Filtering ............................................................... 12

    State of Practice ...................................................................................................... 12

    Advanced Crowdsourced Data Applications ...................................................... 14

    Strava Metro Data Service .................................................................................. 14

    Waze Connected Citizens Program ..................................................................... 15

    Adoption of Crowdsourced Technologies in a TMC Workflow......................... 15

    Commercially Available Traffic Management Technologies ............................. 16

    Summary ................................................................................................................. 17

    About the Center for

    Quality Growth and

    Regional Development

    The Center for Quality

    Growth and Regional

    Development (CQGRD) is

    an applied research center

    of the Georgia Institute of

    Technology. The Center

    serves communities by

    producing, disseminating,

    and helping to implement

    new ideas and

    technologies that improve

    the theory and practice of

    quality growth.

    For more information, visit

    www.cqgrd.gatech.edu

  • iii

    CHAPTER III. CHALLENGES AND LESSONS LEARNED FROM

    PRACTICE ....................................................................................................... 19

    Introduction ............................................................................................................. 19

    Questionnaire Design .............................................................................................. 19

    Selection of Respondents and Data Collection ....................................................... 21

    Analysis of the State of Practice ............................................................................. 23

    ATMS and ITS .................................................................................................... 23

    511 System .......................................................................................................... 23

    Online Social Networks ...................................................................................... 24

    Waze Connected Citizens Program ..................................................................... 28

    Dedicated Platforms Developed by DOTs .......................................................... 28

    Challenges faced by

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