1. 1 A Google-Map-Based Arterial Traffic Information (GATI) System Authors: Yao-Jan Wu Dr. Yinhai Wang Dr. Dalin Qian Date: 10/03/2007

2. 2 Outline Introduction System Architecture Database Design Implementation Conclusion and Future work

3. 3 Introduction System Architecture Database Design Implementation Conclusion and Future work

4. 4 Web Based Traffic Information System Washington State Department of TransportationWashington State Department of Transportation –Puget Sound Traffic Flow MapPuget Sound Traffic Flow Map

5. 5 Google-based Traffic Information System Seymour, E.J. Miller, B.(2007). Google-Based Mapping System for Traffic Management Center Web Navigation, TRB –http://daltrans.org/http://daltrans.org/

6. 6 Arterial Traffic Information System Bellevue Real-Time Traffic Map –Not in right scale –Less interactive –Research? Source: http://www.ci.bellevue.wa.us/

7. 7 Introduction System Architecture Database Design Implementation Conclusion and Future work

8. 8 System Architecture STAR Lab

9. 9 Introduction System Architecture Database Design Traffic Data from the City of Bellevue Pre-process Implementation Conclusion and Future work

10. 10 Traffic Data from the City of Bellevue The city of Bellevue [Liang, 2006] –177 signalized intersections –More than 840 advance detector –Around 465 links (varied).

11. 11 Pre-process Locate all intersections (nodes) Build up link-intersection relation table Import Data into Database –Link Data –Intersection Data –Traffic Data

12. 12 Traffic Data All link data –One minute update file (with all the links for the flow map) –Filename name: 0607121314.csv Link # Link ID Smooth Volume Smooth Occupancy Cycle length Plan # running Color code Incident code

13. 13 All link data Link description –Fxxxddmn (e.g. F001EBT1) –xxx= Intersection # –dd= Direction (EB, WB, NB, SB) –m= Movement: (L)eft, (T)hru, (R)ight –n= # of lanes Link # Link ID Smooth Volume Smooth Occupancy Cycle length Plan # running Color code Incident code

14. 14 All link data Date Weekday Time Link ID Link Description volume Occupancy Volume+K Cycle length Plan# Color code Color code [Liang, 2006] –1,2=green (light) –3=yellow (Moderate) –4=red (Heavy) –5=black (Severe) –0=gray (No data)

15. 15 Locate all intersections Saving Data with GXmlHttp (Ajax!) Do it manually with reference to the Map of Signalized Intersection

16. 16

17. 17 All Intersections

18. 18 Build up link-intersection relation table Do it manually with reference to the Map of Signalized Intersection Link # Link ID Smooth Volume Smooth Occupancy Cycle length Plan # running Color code Incident code

19. 19 Database Three tables have to be built in MySQL database –Traffic data table –Link Data table –Link_Intersection table

20. 20 Relationships among tables

21. 21 Introduction System Architecture Database Design Implementation Conclusion and Future work

22. 22 Interface

23. 23 Flowchart

24. 24 FTP Downloader Functions –Data Downloading –Generate real-time XML data –Update database –Archive data feeds

25. 25 Traffic Flow Map

26. 26 Conclusion and Future Work Conclusion –Low cost (MySQL, Apache server, PHP, etc) –Easy to implement Future work –More traffic information can be shown –Analytical tools Versatile Query Real-time evaluation (Arterial, network) functions

27. 27 More Info STAR Lab (http://www.uwstarlab.org/)

28. 28 2008 TRB Annual Meeting Washington D.C. GATI Ver.2

29. 29 Questions? yaojan@u.wasington.edu