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May 27, 2020
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