1. Improving Travel Time-Delay Functions for the Highway 217 Corridor Study Using a Regional ITS Data Archive Robert L. Bertini, Ph.D, P.E. Portland State University ITE District 6 Annual Meeting  Kalispell, MT  July __, 2005

2. 2 Outline  What is PORTAL?  Describe PORTAL Architecture  Describe Database Processing and Storage  Travel Demand Forecasting Improvement  Improving the travel time-delay function for Oregon Highway 217  Next Steps

3. 3 Portland Transportation Archive Listing (PORTAL) PSU Designated as Regional Archive Center  Through regional cooperation, Portland State University is the regional center for collecting, coordinating and disseminating variable sources of transportation data and derived performance measures.

4. 4 PORTAL Architecture Regional ITS Data Sources  98 CCTV Cameras  19 Variable Message Signs (VMS)  485 Inductive Loop Detectors  135 Ramp Meters  Weather data stations  TriMet Automatic Vehicle Location (AVL) System and Bus Dispatch System (BDS)  Extensive Fiber Optics Network

5. 5 PORTAL Architecture Regional ITS Data Sources  98 CCTV Cameras  19 Variable Message Signs (VMS)  485 Inductive Loop Detectors  135 Ramp Meters  Weather data stations  TriMet Automatic Vehicle Location (AVL) System and Bus Dispatch System (BDS)  Extensive Fiber Optics Network

6. 6 PORTAL Architecture Regional ITS Data Sources  98 CCTV Cameras  19 Variable Message Signs (VMS)  485 Inductive Loop Detectors  135 Ramp Meters  Weather data stations  TriMet Automatic Vehicle Location (AVL) System and Bus Dispatch System (BDS)  Extensive Fiber Optics Network

7. 7 PORTAL Architecture Data Flows

8. 8 Data Storage (OIT) Storage Area Networks (SANs) 1+ Terabyte of storage space Web Server (OIT): Dual Sparc Processor Sun OS Your Web Browser Disk Access via Network File System (NFS) Via NFS Send Query Get Results Database Server: Dual Sparc Processor Sun OS PORTAL Architecture Database and Web Servers  New hardware purchased with a grant from ODOT  Partnering with the PSU Office of Information Technologies

9. 9 PORTAL Architecture Database and Web Servers  Database Back End  SQL relational database  200 MB per day of raw data  75 GB per year  High capacity disk array  5 MB compressed for download  Off-site backup server  Daily backups  Uninterruptible power  Web-based interface  Easily accessible  User-friendly  PHP language

10. 10 Oregon Highway 217 Study

11. 11 Oregon Highway 217 Study

12. 12 Oregon Highway 217 Study ODOT provided one week of loop detector data, from April 14, 2002 to April 20, 2002.

13. 13  Metro uses a 4-step model –Trip Generation –Trip Distribution –Mode Choice –Trip Assignment –Used standard BPR volume delay functions Oregon Highway 217 Study

14. 14 Volume Delay Function Old VDF:

15. 15 Volume Delay Function

16. 16 Previous Volume Delay Function

17. 17 Passenger Car Equivalent Adjustment Vehicle classification counts for Oregon Highway 217, December 31, 2001

18. 18 Passenger Car Equivalent Adjustment

19. 19 V/C Ratio vs. Travel Time Hall Blvd. South

20. 20 Results

21. 21 Results

22. 22 Next Steps  Use data from PORTAL to perform similar analysis on key freeway segments throughout the region

23. 23 Next Steps Expanding Archive Functionality  Data from:  TriMet  Washington State DOT  City of Portland  ODOT WIM Data  Additional processing tools and performance measures

24. Acknowledgments  National Science Foundation  Oregon Department of Transportation  Dennis Mitchell  Jack Marchant  City of Portland  Bill Kloos  TriMet  Portland State University  Oregon Engineering and Technology Industry Council

25. 25 Acknowledgments  Faculty  Dr. Robert L. Bertini  Associate Professor, Civil & Environmental Engineering and Urban Studies & Planning  Director, Center for Transportation Studies  Staff  Andy Delcambre  Spicer Matthews  Andrew Byrd  Andy Rodriguez  B.S., Computer Science, Portland State University  Steve Hansen  School of Urban Studies & Planning, Portland State University

26. 26 Feedback Your Opinions and Suggestions Please let us know what you think about existing or future:  Data sources  Performance measures  Data visualizations and summaries Contact us: bertini@pdx.edu http://portal.its.pdx.edu Sign up for an account!