Interfloor traffic analysis
Explore passenger movements across multiple floors, not just a single peak-direction demand pattern.
Go beyond static traffic estimates. Explore how passengers move between floors, visualise lift operations and evaluate system-wide performance.
Illustrative interface only — the animation and sample figures do not represent verified engine output.
Conventional up-peak calculations are one part of lift planning. Real buildings also contain competing journeys, changing demand and movement between floors. EleviFlow puts these interactions into view.
Designed to make lift traffic behaviour easier to examine, communicate and evaluate.
Explore passenger movements across multiple floors, not just a single peak-direction demand pattern.
Follow lift operation through visual playback and connect the outcome to system behaviour.
Evaluate average waiting time alongside the passenger-flow and lift-configuration assumptions behind it.
Adjust the illustrative traffic mode below to see how the concept interface presents different passenger-flow patterns. Real engineering results will come from the Flask simulation engine when integrated.
Set the building and lift system assumptions that shape passenger movement.
Run the underlying Python simulation across the defined traffic scenario.
Examine waiting time, floor-to-floor flow and the operational playback together.
The right model should reveal what the traffic assumptions mean for the journeys people actually make.
Round-trip time and up-peak methods are useful design tools, but complex buildings can experience substantial movement between floors and changing origins and destinations. Simulation allows these traffic patterns to be examined in context.
Average waiting time is a primary output. Interpreting it alongside the demand assumptions and visual lift behaviour can give a fuller picture of the proposed system.
No. The public website contains an illustrative animation and sample figures only. The underlying Flask/Python simulator is being prepared for cloud integration and engineering validation.
Not yet. The browser-based product is in private development. Public access, commercial plans and any available reports will be announced when the platform is ready.
EleviFlow is being developed for teams who need to understand passenger movements, waiting time and lift system behaviour — beyond a single up-peak estimate.