Gulf Region ITS 2016 Social Media and Traffic Management 09 Oct - - PowerPoint PPT Presentation

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Apr 27, 2023 236 likes •495 views

Gulf Region ITS 2016 Social Media and Traffic Management 09 Oct 2015 GRITS 15 Nov 2016 - Social Media and Traffic Management 1 Introduction Jim ONeill 09 Oct 2015 GRITS 15 Nov 2016 - Social Media and Traffic Management 2 Business Summary

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09 Oct 2015 GRITS 15 Nov 2016 - Social Media and Traffic Management 1

Gulf Region ITS 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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Solution designed for all market requirements

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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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Evolution of Crowd Sourced Data

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Passive: Floating car data. Toll tags. Cell triangulation. GPS. Bluetooth. Magnetic signature. Traffic cameras Active: Social/App based.

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Data Integration Challenges

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Location referencing. Data quality. (accuracy/duplicates). Data format (event codes, data mapping). Harmonize and exchange data with other systems.

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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 data into traffic management centers.

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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

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

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Waze Data Integration

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Data collected and “related” Presented to Operator as Project Distributed to web, apps systems and Waze Data verified, corrected & updated

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Social Data and Road Incident Management

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Monitor Detect Verify Inform Respond Clear

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Social Media - 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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Social Media - Verify

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Data with a location can be verified using the “relation” window: Other incident data. Cameras. Speed. Weather. Incorrect data can be “muted”. Data quality feedback loop is possible.

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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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Using Waze to Inform

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As Traffic & Travel Information is created, updated information is automatically distributed to Waze for all their users.

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Social / Crowdsourced Data Considerations

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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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Conclusions

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Social media is already playing a role in traffic management.

Early warning of traffic events.
Efficient distribution method.
Can assist in verifying incidents.

Crowdsourced data has benefits for detection / verification. Location referencing may be an issue. Curation of user generated data is critical.

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Questions?

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