ITS Canada 03 May 2016 Social Media and Traffic Management 09 Oct - - PowerPoint PPT Presentation

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Oct 16, 2022 390 likes •657 views

ITS Canada 03 May 2016 Social Media and Traffic Management 09 Oct 2015 ITS Canada 03 May 2016 Big Data and Traffic Management 1 Introduction Jim ONeill 09 Oct 2015 ITS Canada 03 May 2016 Big Data and Traffic Management 2 Business Summary

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09 Oct 2015 ITS Canada 03 May 2016 Big Data and Traffic Management 1

ITS Canada 03 May 2016 Social Media and Traffic Management

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Introduction Jim O‘Neill

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Business Summary

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Founded in 1992 by Hagen Geppert and Dr. Karl Will. Corporations in Germany, USA, and Singapore. Headquarters in Bernburg (Germany). Offices in USA, Singapore, and UK. Certified by ISO 9001:2001 since 1998.

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Global Perspective

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GEWI Markets

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Traffic Market Stakeholders

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Selected Customers

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Social Media Identified on TT Tour Sept 2015

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Traffic Technologies Tour Purpose: Information exchange with public agencies in USA. Capturing problems, trends, solutions, ideas. Part of GEWI product development process.

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Transportation Technology Tour Sept 2015

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Visited: District offices – city coverage. Statewide agency. Multi-state agency. Social Media: All using social media/crowd sourced data to some degree.

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Social Media Data Trends

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Acceptance of Crowd Sourced Data: Used for “early warning” of problems. Supplement legacy systems. Provide affordable coverage in rural areas. Most agencies have Twitter presence. Waze is gaining popularity.

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Twitter and Traffic

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Most agencies now “Tweet”: By roadway. By county. Efficient distribution to media. Fewer agencies use Twitter as a data source. Challenging to integrate into data gathering operations.

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Integrating Tweets and Traffic

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Filter relevant tweets Incident and location referencing Presented to Operator as Project Distributed to web, apps and systems Data verified and harmonized

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Waze and Traffic Management

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Waze Data Exchange

Has location referencing
Incident data.
Speed data.
Double parking data. “hot zones”.
Police activity.
Confidence factor rating 1-10.

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Integrating Waze Data

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Data collected and “related” Presented to Operator as Project Distributed to web, apps and systems Data verified and harmonized

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Waze/Twitter useful at various Project steps

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Monitor Detect Verify Inform Respond Clear

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Using Waze/Twitter Data to Detect

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Data can be collected and analyzed. Data meeting certain criteria conditions can be presented to

perators:

As new incident project. As an update to an existing incident project.

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Verify Twitter and Waze

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Data from Social Media with a location can be verified using the “relation” window: Other incident data. Cameras. Speed. Weather. .

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Using Social Media to Verify

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Social Media data can be shown in the “relation” window to verify reported information along with: Cameras. Speed. Weather.

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Using Twitter to Inform

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As Traffic & Travel Information is created, tweets can be automatically or manually created.

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Waze Data Exchange

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Crowdsourced incident/speed data Data not curated. May suggest non-preferred alternates. Users can “manipulate” alternates. DOT can benefit from data exchange. Use tools to relate/verify data.

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Waze Feedback Loop

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UGC can be filled with errors Report of Road Closed 124 days ago. 23 days ago reported as “open”. Agency needs to intervene:

Curate all Waze data.
Correct before publishing.
Create a feedback loop to Waze system.

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Conclusions

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Social media is already playing a role in traffic management. Social media most widely used for distribution of data. Location referencing may be an issue. Curation of publicly created data is critical. Social media can provide “early warning” of traffic events.

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Questions?

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