PROJECT PROFILE
Surfline
Surfloch's wave technology generates perfect oceanlike waves for surfers of all skill levels - from beginners through to professional surfers on the world tour. Regardless of skill level however, every surfer has the same 'problem' and objective at the end of every wave... getting back to the take-off zone. In a typical wave pool, the length of a ride may vary from 10 to 20 seconds or so depending on the wave configuration and pool size/design. If on average a surfer catches 10 waves in a 1 hour session, her/she will spend somewhere between 2 to 4 minutes actually surfing - much of the balance of the session will be spent either paddling or walking back to the take-off zone. It's evident then, that a crucial element of wave pool design involves a comprehensive understanding of the pedestrian traffic and time surfers spend getting back to the take-off area.
​
Working closely with Tom Lochterfeld - CEO of Surfloch, Adaptint designed and developed a simulation model of a wave pool featuring a primary wave with alternating sets of lefts and rights, and a secondary 'A frame' peak mid way down the length of the pool. The multi-method model was developed using AnyLogic's process library to simulate waves and surfer movements in the pool, and the AnyLogic's pedestrian library to model pedestrian movements around the pool and over the gallery bridge.
​
The model enables the user to vary the average walking speed along with other key parameters such as:
​
-
Wave type
-
Number of waves per set
-
Time between waves
-
Time between sets
-
Paddle speed
-
Number of surfers on each break etc.
​
The objective of the model was to determine, with a high degree of confidence, the average number of waves each surfer would catch for a given number of surfers in any session. The model generates charts and statistics showing the length of time that each surfer spends walking, queuing and paddling during each session. Using the model, Surfloch is able to test assumptions and provide realistic 'provable' data to support investment decisions and inform pool designs.
​
Parameters such as walking speed are stochastic, meaning the model is able to accurately simulate pedestrian movements and behaviours including allowing each surfer agent to move at its own pace (within upper and lower bounds). The model supports analysis of queuing at various points around the pool such as entry ramps and underpins detailed analysis of choke points with the aid of pedestrian density heatmaps.
​
Simulating pedestrian traffic can add significant value in the early design stages of a wave pool complex. Architects and designers typically need to take into account emergency situations including a full evacuation of the site. Simulating pedestrian movements in and around a venue or precinct enables dynamic modelling of emergency scenarios, including full site evacuation.
​
Could we help you with your next project? Call us - we'd welcome the opportunity to speak with you and see how we can be of assistance!
​