arizona 511 model deployment matt burt – battelle talking operations webcast rural issues: 511 and...
TRANSCRIPT
![Page 1: Arizona 511 Model Deployment Matt Burt – Battelle Talking Operations Webcast Rural Issues: 511 and Traveler Information July 27, 2005](https://reader036.vdocument.in/reader036/viewer/2022082817/56649e635503460f94b5f6d8/html5/thumbnails/1.jpg)
Arizona 511 Model Deployment
Matt Burt – Battelle
Talking Operations WebcastRural Issues: 511 and Traveler Information
July 27, 2005
![Page 2: Arizona 511 Model Deployment Matt Burt – Battelle Talking Operations Webcast Rural Issues: 511 and Traveler Information July 27, 2005](https://reader036.vdocument.in/reader036/viewer/2022082817/56649e635503460f94b5f6d8/html5/thumbnails/2.jpg)
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Organization of the Presentation
• Arizona 511 Background
• Evaluation Finding Highlights
• Statewide/Rural Issues
• Next Steps
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Arizona 511 Background
• Originated as a statewide system in 1998, based on ADOT Highway Condition and Reporting System (HCRS)
• Operated “in-house” by ADOT
• Converted to “511” in March 2002
• 2 types of info:– Roadways (route-based)
– Call transfers to transit
• Touch-tone user interface
• Little system data available for performance monitoring
• No formal marketing
• No user input (did focus groups for Model Deployment)
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Arizona 511 Background, cont.
• Arizona awarded $1 million competitive grant in 2002 by U.S. DOT for National 511 Model Deployment
• ADOT-led coalition of agencies statewide
• Battelle conducted evaluation on behalf of FHWA
• Timeline:– Planning - Fall 2002
– Design & Implementation phase – 2002 and 2003 (enhanced system roll-out December 18, 2003)
– One year operational phase (for eval.) Jan. - Dec. 2004
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Arizona 511 Background, cont.
• Model Deployment enhancements:– User Interface
- Voice recognition, roadway segment based reporting
– New data- Segment weather
- Arterial street travel times (Phoenix demo)
- Neighboring state data (Utah)
- 2-minute voice recording capability for transit, airports, Grand Canyon
- Estimated bus arrival times (Phoenix)
- Tucson and Phoenix traffic input by local agencies
– Premium service partner
– Marketing and data quality enhancements
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Arizona 511 Background, cont.
• Evaluation analyses:– Usage
- Looked at overall patterns and patterns during a major incident, wildfire, winter storm and week-long DMS ads
- 511 server log files primary source (U of A led)
– User Survey- 410 surveys completed in November 2004
– Enhancement Process- 511 Task Force interviews and workshops
– Costs- Fully document costs by enhancement and type (planning,
implementation, O&M)
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Evaluation Finding Highlights
• Several incomplete enhancements
• Generally positive reaction from users
– Increase in call volumes (74%)
– 70% (survey) satisfied with information content
– 90% + (survey) would use again and recommend
– ~ 20% (survey) cite specific benefits
• 35% of surveyed users dissatisfied w/voice recognition
• Very little usage of new information (less than 10% of total menu selections)
• 57% (survey) say no better or worse than radio traffic as go
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Evaluation Finding Highlights, cont.
• Identified a wide range of lessons learned, including:– Invest in formal planning and design documents
– Solicit user input during design and refinement
– Assume voice recognition implementation will be resource-intensive
– Conduct marketing targeted to potential users of new information types
– Consider DMS marketing for reaching roadway info. users
– Don’t assume regional 511 will replace transit info. lines
– Vigorously build support among local agencies for data entry.
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Statewide/Rural Issues
• Hard to get new partners to enter data
• Lack of major border town works against state-to-state sharing
• Challenges in equating NWS weather data to AZ segments
• Rural transit helped ID coverage gaps
• DMS marketing campaign effective for statewide interstate exposure (20x increase)
• Capacity exhausted during events; use of floodgate message is helpful
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Next Steps
• Continue to work on voice recognition
• Move ahead with unimplemented model deployment enhancements:– Arterial street travel times
– Estimated bus arrival times
– Neighboring states
• Continue to work with local agencies on data entry (traffic, Tucson airport and transit)
• Install 50 static road signs statewide and continue to build name recognition through marketing
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For Further Information Contact:
• Model Deployment Evaluation:– Matt Burt, Battelle: 480-753-1511, [email protected]
• Arizona 511 Operations and Model Deployment Project:– Tim Wolfe, ADOT: 602-568-2164, [email protected]
– Rick Schuman, PBS&J: (407) 647-7275 x4511, [email protected]
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Perspective on Texas 511 Issues
• Costs– ADOT shoulders costs for “basic service” (no viable
premium service partner found)
– Costs to expand/enhance system ($1.4M) were 3 times greater than cost of original system
• Evolution to statewide system– Started statewide (ADOT) but there have been challenges
in adding new metro areas as active partners
– Impact of future call volume increases from Tucson and elsewhere uncertain; could necessitate decentralization of phone system
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Perspective on Texas 511 Issues, cont.
• Relationship to highway closure system– System build around HCRS; HCRS is heart of the system
– Challenges in getting local agencies inputting to HCRS; some see as redundant with their own systems
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Cost Data - Implementation
Deployment Cost ComponentPre-Model Deployment
511 System
Enhanced (Model Deployment)
511 System
Design & Development $ 270,000 $ 406,508
Implementation $ 62,520 $ 1,005,752
Hardware $ 48,370 $ 60,069
Software & Engineering $ 14,150 $ 903,546
Marketing $ - $ 42,137
Total $ 395,040 $ 1,412,260
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Cost Data – Operation & Maintenance
Annual Operations Cost ComponentPre-Model Deployment 511
System
ModelDeployment Year of
OperationsFuture Years of
Operation
ADOT staff $ 270 $ 11,770 $ 8,658
Consultant support $ 9,400 $ 104,773 $ 25,100
HCRS $ 3,000 $ 11,250 $ 7,500
IVR $ 6,400 $ 18,714 $ 17,600
Program Management $ - $ 74,809 $ -
Phone charges $ 102,464 $ 139,577 $ 139,577
T-1 Line Rental $ 27,600 $ 36,458 $ 36,458
Total $ 139,734 $ 292,578 $ 209,793