JD ClassicIIE Chapter Volunteer

Meeting

Gordon Rehn – July 23, 2015

Agenda

1. Debrief Raw Data Collection Gaps Observations

2. Data Summary

3. Modeling Approach

4. Next Steps

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Debrief

Forms Returned

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Gaps 

 

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1. Bus Depart Times Inadequate• Most Loaded & Unloaded < 1 minute• Some Times Collected • Estimate Times w/ Random Range within Collected Times

2. People Delays• 9th Green & 10th Tee Crosswalk• Clubhouse Walkway• VIP & Sponsor Bus Exits• Delay Estimates?

3. Player & Caddie Traffic Flow• Flow in & Out Parking Lot• Impacts Clubhouse Circle Flow when Leaving• Relate Arrival & Departure to Tee Time Schedule

Observations 

 

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1. VIP & Sponsor Bus Load/Unload Bottleneck Suggestions:• Add Unload or Load Point• Widen Roadway/Soften Curve Exiting Clubhouse Circle• Create Bus Lane Exiting Clubhouse Circle • Wider Clubhouse Circle

2. People Flow leaving/entering Bus Problems:• Load & Unload Conflict…Same Space• Exiting onto Clubhouse Circle Road• Checking Tickets as People Exit Bus• Suggestions:

• Reconfigure People Queues• Stairway to reach Cart path (across from Bus load/unload)• Signs to direct people• Eliminate checking Tickets when Exiting Bus

Observations 

 

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3. Wider roadway or pedestrian sideway in front of the JD Equipment Display

4. Additional Safety Concern: Golf Carts passing through Clubhouse Circle in opposite direction to Vehicle Flow

5. Volunteers Complaints: • Pickup & Drop-off (Loc #2) to Far Away• Pick-up/Drop-off @ # 5 Tee (Service Road)• Shuttle from Volunteer Lot to #2 Green Entrance• No Volunteer Buses (from Compound) at VIP/Sponsor

Pickup/Drop Off• More Cell Phone Charging Stations

Data Collection Locations 

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Data Summary

CollectedData.xlsx

Model Structure

Data Sources

1. Collected Data at Locations 1,2 & 3

2. Durham Bus Data – General Public Routes

3. Scaled Layout from Shive Hattery (from Aerial View)

4. Player Tee Times

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Model Approach1. Simulate Friday & Sunday Situation

• Model Arrival & Load/Unload Times Using Random Number Streams• Multiple Replications (Eliminate Statistical ‘Noise’)

2. Unique Vehicle Classes & Routes (specific properties)

3. Provide 2D Animation of Flow ..\..\Simulation Examples\Paint_Example.lay

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Assumptions1. People Arrivals random based ½ Hour increments (Collected Data)

2. Player Arrivals Based on Tee Time Schedule• Arrive 90 mins. prior to Tee Time• Leave within 30 mins. of Estimated Completion• Stop at Clubhouse Circle on Sundays or Miss Cut on Friday• One Lexus/Player

3. Caddie Arrivals Based on Tee Time Schedule• Same assumptions as Player Arrival/Departure• 2-3 Caddies/Lexus Shuttle

4. Durham & Act II Vehicles Fixed Path Loop Processing

5. Golf Carts (& Gators) Arrivals:• Random Arrivals based on ½ Hour Increments (Collected Data)• 1 of 5 Routes Selected randomly based on observations

6. All other Vehicle Arrivals:• Random Arrivals based on ½ Hour Increments (Collected Data)• Stopping Time in Circle base on observations

7. People Delays?

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Output Statistics

1. # Vehicles Processed thru Clubhouse Circle by Vehicle type

2. # People Delivered in & Out by Pickup Area

3. People Queues Sizes by Area

4. People Wait Time by Area

5. % Utilization of Clubhouse Circle by ½ Hour Increments

6. Vehicle Blocking Delays in Clubhouse Circle• @ Location 1• @ Clubhouse Circle• Other Locations?

7. People Delays?

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Next Steps

Next Steps1. Share Data with Stake Holders:

• TPC • Act II Transport• Shive Hattery• Durham Bus

2. Augment Collected Data• Shive Hattery – Scaled Layouts• Durham Bus – General Public Traffic Flow

3. Assess Shive Hattery “Turning” Software

4. Establish Base Case Simulation

5. Test & Summarize Alternatives (TBD)

6. Establish Student Competition

7. Determine Recommendations

8. Review Presentation w/ Stakeholders

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