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TJHSST Hallway Simulation

TJHSST Hallway Simulation. Paul Woods Pd 5 2008-2009. PURPOSE. Increase understanding of TJHSST hallways TJHSST—both building and demographics--have changed since past research If you cannot understand the hallways, how can you understand the school?. BACKGROUND.

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TJHSST Hallway Simulation

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  1. TJHSST Hallway Simulation Paul Woods Pd 5 2008-2009

  2. PURPOSE • Increase understanding of TJHSST hallways • TJHSST—both building and demographics--have changed since past research • If you cannot understand the hallways, how can you understand the school?

  3. BACKGROUND • Continuum Crowds by Adrian Trueille, Seth Cooper, Zoran Popovic • Finding Multi-Constrained Feasible Paths By Using Depth- First Search by Zhenjiang L and J.J. Garcia-Luna-Aceves. • Interactice Graphics Using OpenGL and the Graphix Windowing Toolkit by Washington and Lee Universitys Rance D. Necaise. • Performance OpenGL: Platform Independence Techniques by Tom True, Brad Grantham, Bob Kuehne, and Dave Shreiner. • A New Approach to Cooperative Pathfinding by Renee Jansen and Nathan Sturtevant.

  4. PAST RESEARCH • Traffic Dynamics in Scholastic Environments by Olesya Katkova. • Hallway Traffic Simulator by Peter Riggins.

  5. PAST RESEARCH • Traffic Dynamics in Scholastic Environments by Olesya Katkova. • Hallway Traffic Simulator by Peter Riggins.

  6. PATHFINDING

  7. PATHFINDING • Returns as soon as it finds a workable path • Randomizes which paths it selects first to eliminate bias • Requires that students find a path before break (10 minutes) is over and they are late for class.

  8. RESULTS

  9. RESULTS

  10. Top 5 Most Crowded • 2 (The 2nd floor intersection of hallways near the backside of the school. This is the location of a 4-way intersection (hallways in three direction and stairs leading to the 1st floor). • 14 (The 1st floor intersection near the front of the school.) • 22 (The Junior Lounge, which intersects 3 hallways, an exit, and a pathway leading to trailers). • 23 (The 1st floor hallway in which many physics classes are taken) • 16 (The hallway leading to the Millennium Courtyard).

  11. Top 5 Least Crowded • 1. 29 (The hallway leading to one of the entrances to the boys locker room • and the back door entrance to the main gym). • 2. 25 (The pathway to the section of trailers located between Dr. Acios • room and the Junior lounge). • 3. 17 (The hallway leading to and fro the cafeteria). • 4. 13 (The hallway leading to the band and chorus rooms). • 5. 19 (The hallway leading to the Systems Lab).

  12. ANALYSIS • All students got to their desired destination on time • The traffic results were realistic when compared to personal experiences

  13. ANALYSIS • Bathrooms and Exits • Class Sizes • Students only required to find a path, not the most likely path

  14. THE FUTURE • Collect real-life data for comparison • Fix the student scheduling algorithm to remove bathrooms and exits as classrooms. • Give each room a class-size attribute to improve the accuracy of the results. • Adjust the path finding algorithm to make students take more accurate paths and take past crowding experiences into account.

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