Crowdsourced Data for Traffic Operations Jeff Adler
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1 Crowdsourced Data for Traffic Operations Jeff Adler
2 Acknowledgements Jimmy Chu, FHWA Office of Operations TMC Pooled Fund Study Our Partners Noblis and Kimley-Horn Final Report February 2015 Publication Number: FHWA-JPO _Final_508_Version.pdf T3Webinars: pcb webinars aspx 8/12/2015 NRITS CROWDSOURCED DATA FOR TRAFFIC OPERATIONS 2
3 TMC Data Processing 8/12/2015 NRITS CROWDSOURCED DATA FOR TRAFFIC OPERATIONS 3
4 Study Purpose What sources of social media and crowdsourced data are being used for TMC operations? What are the best opportunities for integrating crowdsourced data from social media to support TMC TSM&O activities? How can agencies use SWOT Analysis to strategize projects for integrating crowdsourced data into their real-time operations? What measures of effectiveness can be used to provide a value proposition for assessing the return on investment? 8/12/2015 NRITS CROWDSOURCED DATA FOR TRAFFIC OPERATIONS 4
5 Crowdsourcing and Social Media Extracting Data from Social Media Third-Party Crowdsourced data Specialized Apps 8/12/2015 NRITS CROWDSOURCED DATA FOR TRAFFIC OPERATIONS 5
6 State of the Practice Data from 3 rd Party Provider Very commonly used Competitive environment Growing features Social Media Monitoring and Engagement Commonly used to disseminate information Growing number of agencies using as data source Responsibilities shared between communications and operations Structure of data published enhances value of data received Some agencies using advanced monitoring tools Small number doing advanced mining Dedicated Collection Leverage existing systems Small number of specialized apps 8/12/2015 NRITS CROWDSOURCED DATA FOR TRAFFIC OPERATIONS 6
7 Perceived Issues with Current Data Acquired Data Shared Data Self Generated Manual Data No Barriers Limited Coverage Poor Quality Too Costly Tough Integration Other 8/12/2015 NRITS CROWDSOURCED DATA FOR TRAFFIC OPERATIONS 7
8 Crowdsourced Data Value Assessment Least benefit Less benefit Benefit More benefit Most Benefit Low Cost Private Sector Wider Coverage Fill in Gaps Help meet Innovation mandates (1201) 8/12/2015 NRITS CROWDSOURCED DATA FOR TRAFFIC OPERATIONS 8
9 TSM&O Activities and Crowdsourcing Activity Criticality Social Media Third-Party Data Specialized Apps Incident Management Very High Moderate Very High High Traveler Information Very High Moderate High High Work Zone Management Special Event Management High Moderate High Low High Moderate Medium Low Freeway Operations High Low High Low Arterial Management High Moderate High Low Road Weather Management High Moderate Low High Managed Lanes Low Low Low Low Maintenance Mgmt. Low Moderate Low Moderate 8/12/2015 NRITS CROWDSOURCED DATA FOR TRAFFIC OPERATIONS 9
10 Traveler Information via Social Media 8/12/2015 NRITS CROWDSOURCED DATA FOR TRAFFIC OPERATIONS 10
11 Iowa DOT Engaging Citizens via Twitter Slowly evolved Iowa DOT s presence since Twitter account -> 12 Twitter, 6 Facebook (511/traveler information accounts) Early December 2012 purchased Radian6 to monitor and engage December 2012 everything changed with 1 winter storm Started actively monitoring & engaging during normal business hours (Public Affairs office & Traveler Information coordinator) while ramping up for 24/7 coverage during bad storms. January 2014 started monitoring & engaging 24/7 with the help of our Statewide TOC. Twitter: 11,638 (511), 22,800 (IowaDOT) Facebook: 9,746 (511), 4,579 (IowaDOT) 8/12/2015 NRITS CROWDSOURCED DATA FOR TRAFFIC OPERATIONS 11
12 Iowa 511 Twitter Feed 8/12/2015 NRITS CROWDSOURCED DATA FOR TRAFFIC OPERATIONS 12
13 Integrating 3rd Party Crowdsourced Data 8/12/2015 NRITS CROWDSOURCED DATA FOR TRAFFIC OPERATIONS 13
14 Florida DOT Waze Integration 8/12/2015 NRITS CROWDSOURCED DATA FOR TRAFFIC OPERATIONS 14
15 Utah Citizen Reporter App 8/12/2015 NRITS CROWDSOURCED DATA FOR TRAFFIC OPERATIONS 15
16 SWOT Model Framework Implementation Considerations Strengths & Weaknesses Operational Staffing Experience Business Process Culture Training Performance Measures Institutional Social Media Policies Social Media Staffing Agency Culture Technical Data Integration Social Media Experience Mobile All Development TMC Infrastructure Opportunities Threats Achieving TSM&O Objectives Overcome Data Deficiencies Improve Institutional Cooperation Social Media Monitoring Tools Humanizing DOT Gamification and Incentivizing Citizens Data Quality Data Validity and Credibility Data Privacy Data Ownership Distracted Driving Emerging Innovations 8/12/2015 NRITS CROWDSOURCED DATA FOR TRAFFIC OPERATIONS 16
17 Example SWOT Analysis UDOT STRENGTHS Progressive Agency Project Champion Strong technical foundation Strong training focus at UDOT WEAKNESSES Limited experience working with Citizens Designing mobile apps Processing data from citizens OPPORTUNITIES Improve Road Condition Reporting Motivated Citizen Base Mobile technologies Data Accuracy Internal Networking Hands Free laws THREATS 8/12/2015 NRITS CROWDSOURCED DATA FOR TRAFFIC OPERATIONS 17
18 Measures of Effectiveness TMC Resources Monetary costs associated with social media activities Agency Reputation Measure the reach of social media outlets Assess user confidence Ability to Meet TSM&O Objectives Before and after assessment of key metrics Data Effectiveness Crowdsourced data reliability and quality Reduced latency 8/12/2015 NRITS CROWDSOURCED DATA FOR TRAFFIC OPERATIONS 18
19 Summary and Conclusions Agencies seeking for newer, and less costly data sources to improve TSM&O Activities Crowdsourced data looks appealing but agencies need to understand the direct and indirect costs SWOT analysis is a useful tool to help agencies assess their capabilities and readiness to plan and execute crowdsourced data projects Agencies operating TMCs should embrace projects that are best suited to their strengths and provide the best opportunities for success. New MOEs are needed to provide a value assessment and generate return on investment 8/12/2015 NRITS CROWDSOURCED DATA FOR TRAFFIC OPERATIONS 19
20 Q-Free Open Roads 103 Watson Road Chesapeake, VA Dr. Jeffrey Adler Associate VP ITS Business Development Leading the way in Intelligent Transportation Systems
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