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Quality Traffic Information for the Future April 29, 2008. Kevin Loftus Vice-President, National Operations. Why Real-Time Traffic?.
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Quality Traffic Information for the FutureApril 29, 2008 Kevin Loftus Vice-President, National Operations
Why Real-Time Traffic? 79% very interested in real-time traffic information 48% would use real-time traffic service daily91% would pay small monthly fee 70% of automakers plan to offer navigation systems with real-time traffic reports Anticipated $7 billion market opportunity for data aggregators & broadcasters by 2011 *Source: Driscoll-Wolfe and J.D. Powers & Associates
Data Collection Resource Analysis All markets Determine Gaps Complete Training of Local Production Staff Dedicated personnel in each Market Dedicated Personnel Developing Quality Data
Data Collection Resource Analysis Performed in each market to determine data gaps Plan developed to improve resources and close gaps Complete Training of Local Production Staff Regional Personnel dedicated to oversee quality and on going training Ground truth testing Vehicles outfitted with software and GPS receivers are sent into each market Drivers collect speed and location data as random samples of traffic conditions Drive test data is compared to traffic content distributed by TTN Comparative data is analyzed and graded resulting in quality scoring and benchmarking Developing Quality Data
Developing Quality Data • Data Verification Approach • Process of applying multiple resources to critical areas for redundant coverage • Data received from one source can be verified through a separate source • Video cameras • Speed Sensors • State-of-the-art digital scanners • Private spotters (aircraft, mobile units) • Tipsters • Police/Fire/EMS data • Dedicated Personnel • Applying standards to hiring and training practices to ensure the highest level of staffing • CCTrafficNet • Proprietary platform for traffic content processing • Allows single point of entry for traffic data • Compiles data in xml schema for easy parsing into multiple applications • Built-in error correction processes to ensure proper formatting KEY APPROACH
Sensors Cameras Under Development Baltimore/DCResource Analysis Confidential
Data Verification All Data is Verified (Very Low False Alarm Rate)
Why is Validation Important? Eastbound Congestion Sensor Data indicates Green Verified ~8:45am on Jan 30, 2007
Quality Testing Automotive OEM European Standard • Vehicles outfitted with software and GPS receivers are sent into each market • Drivers collect speed and location data as random samples of traffic conditions • Drive test data is compared to traffic content distributed by Clear Channel • Comparative data is analyzed and graded resulting in quality scoring and benchmarking
Quality Index Calculation • We are interpreting Quality in two ways • Quality Index #1 is the Detection Rate • Target value is 100% • Quality Index #2 is the False Alarm Rate. • Target value is 0%
Ground Truth Test Normal Speed Traffic Message Slow Traffic Distance Hit Time Miss
Ground Truth Test Normal Speed Traffic Message Slow Traffic Distance False Alarms Time
Each Market All Roads in a Market are driven Various Times of day Market is graded Over 200,000 miles driven each year Markets are validated at least once per year Each Data Set can be analyzed individually Insufficient markets are corrected and re-evaluated Quality Index Calculation
CONTACTKevin Loftus, VP National Operationskevinloftus@clearchannel.com404.870.5089 direct404.213.2666 mobile