Skip to main content
BluINFO

BluSKY Elevator Simulation and Analysis (SimEYES)

  1. Last updated
  2. Save as PDF

This list captures both the standard capabilities of our elevator-traffic simulators and the cutting-edge extensionsneeded to model modern security workflows, smart-building integrations, and next-generation passenger experiences.

Core Simulation Features:

  1. Up-Peak Analysis
    • Description: Models passenger traffic during the morning rush (mostly upward trips from the lobby).
    • How It’s Used: Simulate fixed intervals (e.g. 5 minute slices) with specified arrival rates and population; calculate handling capacity, average wait time, and car‐interval metrics.
    • Value: Determines the number and speed of cars needed, and optimal group sizes, to meet service‐level targets and minimize lobby congestion.
  2. Down-Peak & Two-Way Analysis
    • Description: Simulates end-of-day egress (down-peak) or mixed flows (e.g. lunch periods) with simultaneous up- and down-calls.
    • How It’s Used: Inject directional arrival patterns (e.g. 80 % exiting in 10 minutes) or balanced flows; evaluate waiting/travel times under different control strategies.
    • Value: Ensures elevator systems maintain acceptable performance across all daily traffic profiles, not just up-peak.
  3. RTT (Round-Trip Time) Calculations
    • Description: Computes the theoretical cycle time for a car to leave the lobby, serve calls, and return.
    • How It’s Used: Compare RTTs for different speeds or car counts in tall buildings (e.g. 30-story at 1.6 m/s vs 2.5 m/s).
    • Value: Provides a quick, back-of-the-envelope check on system capacity before deeper simulation.
  4. Full Dynamic Simulation
    • Description: Event-driven model with stochastic passenger arrivals and real-time dispatch logic.
    • How It’s Used: Run Poisson‐arrival simulations over desired time windows, track individual car movements, and record distributions of wait/travel times.
    • Value: Captures realistic behaviors—call clustering, elevator bunching, algorithm quirks—that static RTT can’t predict.
  5. Group-Control Strategy Selection
    • Description: Allows side-by-side evaluation of dispatch algorithms (collective, cluster, destination dispatch, etc.).
    • How It’s Used: Toggle among strategies in the simulator and compare key metrics (average wait, ride times) under identical traffic.
    • Value: Identifies the optimal control approach for a given building’s traffic profile, often reducing waits by 20-30 %.
  6. Custom Dispatcher/Control-Algorithm Interface
    • Description: Exposes APIs or GUIs for users to plug in bespoke scheduling logics or test new algorithms.
    • How It’s Used: Implement a genetic-algorithm scheduler or other research-driven dispatch, then validate performance against standard methods.
    • Value: Fosters innovation and tailored solutions for unique building requirements.
  7. Parametric Configuration (Speed, Capacity, Door Times)
    • Description: Enables batch variation of car specs—speeds (1.0–3.5 m/s), capacities (10–25 ppl), door dwell times (2–8 s).
    • How It’s Used: Run sensitivity sweeps to see, for example, how adding 1 m/s speed or 2 s door dwell affects cycle times and throughput.
    • Value: Guides cost-benefit trade-offs, ensuring design choices hit performance targets within budget and space.
  8. Kinematics & Motion-Analysis Tools
    • Description: Computes and plots velocity, acceleration, and jerk profiles for travel between stops.
    • How It’s Used: Verify compliance with ride-comfort criteria (e.g., ≤1 m/s² acceleration) and refine ramp profiles to smooth transitions.
    • Value: Balances speed with passenger comfort and safety, avoiding excessive jerk that leads to complaints.
  9. BIM Export (IFC/Revit)
    • Description: Automatically generates industry-standard 3D elevator families and shaft geometry for BIM platforms.
    • How It’s Used: Export an IFC model of the elevator pit, hoistway, and machine room to detect clashes with structure or MEP systems.
    • Value: Streamlines coordination, reducing RFI cycles and preventing costly on-site conflicts.
  10. 2D/3D Layout Drawing
    • Description: Produces annotated plan, section, and isometric views of elevator assemblies.
    • How It’s Used: Generate shaft plans showing pit depth, headroom, and 3D renderings of machine-room-less cars in context.
    • Value: Accelerates design reviews and ensures accurate installation details.
  11. Report/Analytics Generation
    • Description: Auto-creates performance reports (handling capacity, wait/travel times) in PDF/Excel with charts.
    • How It’s Used: Produce multi‐scenario reports (up-peak, down-peak, two-way, interfloor, emergency) for client presentations.
    • Value: Provides transparent documentation of design decisions and facilitates stakeholder approval.
  12. 2D/3D Animation/Visual Simulation
    • Description: Renders passenger avatars and cars moving through a 3D building model.
    • How It’s Used: Include video clips in presentations that show queuing, boarding, and dispatch behavior under peak traffic.
    • Value: Makes complex traffic patterns tangible, improving stakeholder understanding and buy-in.
  13. Expert-System Optimization
    • Description: Uses rule-based engines to explore thousands of configuration/control combinations automatically.
    • How It’s Used: Identify the top N elevator setups that meet ≥95 % handling capacity with ≤15 s average wait for given building specs.
    • Value: Cuts manual iteration, speeding design cycles and highlighting cost-effective solutions.
  14. Pedestrian/People-Flow Integration
    • Description: Embeds elevator modules within wider circulation simulations (corridors, lobbies, escalators).
    • How It’s Used: Model combined passenger flows in mixed-use or transit hubs, linking elevator delays to queue buildups at escalators.
    • Value: Enables holistic design of all vertical and horizontal conveyance modes for optimal throughput.
  15. Open-Source/Research Tool (TBD)
    • Description: Community-driven platforms (e.g., ESRA) with configurable control methods and data-analysis frameworks.
    • How It’s Used: Modify underlying code (MATLAB/Python) to prototype novel dispatch logics or benchmark against academic standards.
    • Value: Encourages innovation and provides transparent validation for new algorithms.

Advanced & Next-Generation Features:

  1. Access-Control Integration
    • Description: Simulates badge swipes or biometrics at turnstiles or in-car readers as elevator-call triggers, enforcing floor permissions.
    • How It’s Used: Parameterize reader events by user role and time-of-day; automatically generate destination entries only to authorized floors.
    • Value: Validates security workflows, uncovers tailgating or “shoulder-surfing” vulnerabilities, and right‐sizes reader hardware alongside elevators.
  2. Ghost-Call Analysis
    • Description: Quantifies redundant (“ghost”) calls generated when default-floor dispatch conflicts with manual overrides.
    • How It’s Used: Inject override calls at a specified rate (e.g., 25 % of users); measure extra stops and service degradation.
    • Value: Identifies performance penalties of naive integration and guides improvements (confirmation dialogs, smarter defaults).
  3. Arrival-Pattern Integration
    • Description: Drives simulations from real turnstile logs, mobile-app check-ins, or card-swipe data instead of statistical distributions.
    • How It’s Used: Import timestamped entry records to recreate actual arrival curves and feed them into peak or off-peak models.
    • Value: Anchors analyses in true building usage, boosting accuracy of wait-time and lobby-queuing forecasts.
  4. Surge-Event Simulation
    • Description: Models episodic spikes (conference breaks, shift changes, class dismissals) as concentrated arrival batches.
    • How It’s Used: At known surge times (e.g., 500 attendees at 10:00 AM), inject large passenger groups and measure queue recovery.
    • Value: Tests system resilience under extreme loads, informing needed spare capacity or control refinements.
  5. People-Profile Predictive Dispatch
    • Description: Uses occupant profiles or calendar data to forecast destinations and pre-allocate cars.
    • How It’s Used: Tag executives who habitually go to floor 15 on Mondays at 8:30 AM and pre-assign them to a car before swipe.
    • Value: Elevates service for high-value users, smooths lobby flows, and can be ROI-tested before full rollout.
  6. Energy-Consumption Modeling
    • Description: Links simulated trips to energy models (motor power, regenerative gains, standby losses).
    • How It’s Used: Compare the 24-hour energy use of two dispatch strategies or different drive systems.
    • Value: Enables lifecycle-cost analysis, supports green-building certifications, and drives equipment choices.
  7. Predictive-Maintenance Simulation
    • Description: Integrates stochastic failure models and maintenance schedules to assess downtime impacts.
    • How It’s Used: Inject random door-operator faults (MTBF = 200 k cycles) and simulate manual recovery strategies.
    • Value: Quantifies service-availability trade-offs, justifies IoT-sensor investments, and optimizes maintenance intervals.
  8. Emergency-Evacuation Simulation
    • Description: Extends evacuation models to include certified elevator use (refuge floors, phased return), alongside stair egress.
    • How It’s Used: Assign evacuation-capable cars to mobility-impaired groups while stairs handle ambulatory occupants.
    • Value: Validates life-safety code compliance, optimizes refuge strategies, and reduces total evacuation time.
  9. VIP-Service Modeling
    • Description: Reserves dedicated cars for priority users, allowing single-car occupancy when required.
    • How It’s Used: During peak periods, one car is withheld for VIP badge-holders only, dispatching instantly on swipe.
    • Value: Quantifies VIP wait-time reduction versus overall capacity loss, aiding policy decisions on access levels.
  10. Occupant-Segmentation
    • Description: Enforces separation of tenant groups—competitors, visitors, maintenance—into distinct cars or zones.
    • How It’s Used: Use badge attributes to zone calls (e.g., floors 30–40 vs 10–20) so groups never share cars.
    • Value: Balances privacy/security needs against service efficiency, informing optimal zoning strategies.
  11. Express-Service Modes Simulation
    • Description: Models skip-stop or sky-lobby express cars that bypass intermediate floors.
    • How It’s Used: Simulate two cars running nonstop between ground and sky-lobby during down-peak, measuring travel-time savings.
    • Value: Tests whether express runs justify additional shafts or cars by quantifying end-to-end time improvements.
  12. Car-Out-of-Service Impact Analysis
    • Description: Simulates scheduled or random car outages (maintenance/failures) to assess service degradation.
    • How It’s Used: Remove one car every Monday morning for two hours; measure resulting wait-time increases and queue growth.
    • Value: Guides optimal maintenance windows and redundancy planning in high-traffic buildings.
  13. Modernization-Phase Transition Simulation
    • Description: Models multi-year upgrade phases (e.g., relay-to-destination dispatch), during which cars are incrementally retrofitted.
    • How It’s Used: Sequence two-car outages per quarter; track cumulative lobby delays and advise on acceptable phasing speeds.
    • Value: Enables modernization planning that balances upgrade pace with tenant experience.
  14. Real-Time What-If & Digital-Twin Integration
    • Description: Connects simulation to live building telemetry (swipe logs, dispatch data) to run “what-if” tests on actual conditions.
    • How It’s Used: At 8:30 AM, pull real-time swipe counts to replay up-peak with an alternate control algorithm and compare KPIs on the fly.
    • Value: Empowers operations teams with prescriptive analytics—testing changes virtually before deployment to reduce risk.
  15. AI-Driven Optimization Simulation
    • Description: Embeds machine-learning or reinforcement-learning dispatch agents and validates them in the simulator.
    • How It’s Used: Train an RL agent on past month’s data; simulate its decisions vs. standard logic to measure wait-time reductions.
    • Value: Quantifies the gains of advanced control, supports tuning of AI reward functions, and justifies smart-controller investments.
  16. Digital-Twin Performance Benchmarking
    • Description: Continuously compares simulated KPI baselines against actual system telemetry to detect drift or inefficiencies.
    • How It’s Used: Weekly ingest of live wait/travel stats to flag when observed performance deviates >10 % from the digital twin.
    • Value: Acts as an automated commissioning and health-check tool, enabling proactive tuning and maintenance.
  17. Multi-Modal Conveyance Simulation
    • Description: Integrates escalators, moving walks, and elevators into a unified people-flow model.
    • How It’s Used: In a transit hub, model how escalator arrivals feed an elevator bank during train passenger surges.
    • Value: Provides holistic throughput optimization, guiding conveyance layout and dispatch coordination.
  18. Remote/Mobile Dispatch Integration
    • Description: Simulates smartphone-based elevator calls issued in advance, shifting wait time into walk time.
    • How It’s Used: Users dispatch via app from their phone; the simulator injects calls early and models human approach to the car.
    • Value: Reduces perceived wait, smooths lobby crowding, and boosts tenant satisfaction by giving users control over their journey.

 

  1. Back to top
  • Was this article helpful?

Recommended articles

  1. Article type
    Topic
    Classification
    Access Control
  2. Tags
    1. Elevators
    2. Podcast