Gulf Region ITS 2016 Social Media and Traffic Management 09 Oct 2015 GRITS 15 Nov 2016 - Social Media and Traffic Management 1
Introduction Jim O‘Neill 09 Oct 2015 GRITS 15 Nov 2016 - Social Media and Traffic Management 2
Business Summary 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. 09 Oct 2015 GRITS 15 Nov 2016 - Social Media and Traffic Management 3
Global Perspective 09 Oct 2015 GRITS 15 Nov 2016 - Social Media and Traffic Management 4
GEWI Markets 09 Oct 2015 GRITS 15 Nov 2016 - Social Media and Traffic Management 5
Solution designed for all market requirements 09 Oct 2015 GRITS 15 Nov 2016 - Social Media and Traffic Management 6 6
Selected Customers 09 Oct 2015 GRITS 15 Nov 2016 - Social Media and Traffic Management 7 7
Social Media Identified on TT Tour Sept 2015 Traffic Technologies Tour Purpose: Information exchange with public agencies in USA. Capturing problems, trends, solutions, ideas. Part of GEWI product development process. 09 Oct 2015 GRITS 15 Nov 2016 - Social Media and Traffic Management 8
Transportation Technology Tour Sept 2015 Visited: District offices – city coverage. Statewide agency. Multi-state agency. Social Media: All using social media/crowd sourced data to some degree. 09 Oct 2015 GRITS 15 Nov 2016 - Social Media and Traffic Management 9
Evolution of Crowd Sourced Data Passive: Floating car data. Toll tags. Cell triangulation. GPS. Bluetooth. Magnetic signature. Traffic cameras Active: Social/App based. 09 Oct 2015 GRITS 15 Nov 2016 - Social Media and Traffic Management 10
Data Integration Challenges Location referencing. Data quality. (accuracy/duplicates). Data format (event codes, data mapping). Harmonize and exchange data with other systems. 09 Oct 2015 GRITS 15 Nov 2016 - Social Media and Traffic Management 11
Twitter and Traffic 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. 09 Oct 2015 GRITS 15 Nov 2016 - Social Media and Traffic Management 12
Integrating Tweets and Traffic Filter Incident and Distributed to Presented to Data verified web, apps relevant location Operator as and and systems tweets referencing Project harmonized 09 Oct 2015 GRITS 15 Nov 2016 - Social Media and Traffic Management 13
Waze and Traffic Management Waze - Has location referencing - Incident data. - Speed data. - Double parking data. “hot zones”. - Police activity. - Confidence factor rating 1-10. 09 Oct 2015 GRITS 15 Nov 2016 - Social Media and Traffic Management 14
Waze Data Integration Data Distributed to Data verified, collected Presented to web, apps corrected & and Operator as Project systems and updated “related” Waze 09 Oct 2015 GRITS 15 Nov 2016 - Social Media and Traffic Management 15
Social Data and Road Incident Management Monitor Detect Verify Inform Respond Clear 09 Oct 2015 GRITS 15 Nov 2016 - Social Media and Traffic Management 16
Social Media - Detect Data can be collected and analyzed. Data meeting certain criteria conditions can be presented to operators: As new incident project. As an update to an existing incident project. 09 Oct 2015 GRITS 15 Nov 2016 - Social Media and Traffic Management 17
Social Media - Verify 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. 09 Oct 2015 GRITS 15 Nov 2016 - Social Media and Traffic Management 18
Using Twitter to Inform As Traffic & Travel Information is created, tweets can be automatically or manually created. 09 Oct 2015 GRITS 15 Nov 2016 - Social Media and Traffic Management 19
Using Waze to Inform As Traffic & Travel Information is created, updated information is automatically distributed to Waze for all their users. 09 Oct 2015 GRITS 15 Nov 2016 - Social Media and Traffic Management 20
Social / Crowdsourced Data Considerations 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. 09 Oct 2015 GRITS 15 Nov 2016 - Social Media and Traffic Management 21
Conclusions 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. 09 Oct 2015 GRITS 15 Nov 2016 - Social Media and Traffic Management 22
Questions? 09 Oct 2015 GRITS 15 Nov 2016 - Social Media and Traffic Management 23
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