GITNUXSOFTWARE ADVICE
Facilities Property ServicesTop 7 Best Elevator Traffic Analysis Software of 2026
Top 10 ranking of elevator traffic analysis software with side-by-side features and floor-usage insights from Elevate Live, KONE, Trafkit.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy
Elevate Live is the best pick for elevator ops teams that need repeatable dispatch and operating scenario comparisons from web-based simulations, while KONE Elevator Traffic Planner fits teams that must produce group sizing results with scenario-based dispatch performance reports.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Elevate Live
Scenario-based performance reports that link observed time windows to waiting and transit outcomes.
Built for fits when elevator ops teams must compare dispatch and operating scenarios using repeatable traffic results..
KONE Elevator Traffic Planner
Editor pickScenario report outputs tie demand assumptions to interval and car loading outcomes for elevator bank configuration decisions.
Built for fits when teams need scenario-based elevator group sizing with repeatable dispatch performance reports..
Trafkit
Editor pickDispatch-focused scenario evaluation that standardizes comparisons across peak periods using the same building demand inputs.
Built for fits when planning teams need repeatable scenario studies for dispatch strategy comparisons without custom modeling work..
Related reading
Comparison Table
Elevate Live
vertical specialistWeb-based elevator traffic analysis and simulation platform.
Scenario-based performance reports that link observed time windows to waiting and transit outcomes.
Elevate Live is a strong fit for teams that need repeatable elevator performance analysis tied to real usage patterns rather than ad hoc spreadsheets. It emphasizes scenario setup and result reporting, including outputs that support interval-based assessment and system capacity checks. Its fit is strongest when existing building groups, schedules, and operating rules map cleanly into repeatable traffic scenarios.
A key tradeoff is that high-fidelity results depend on careful input curation for building population, time windows, and elevator group operating assumptions. It fits best when the goal is to compare dispatch logic and zoning assumptions across multiple what-if runs before changing controls.
- +Scenario reporting ties interval performance to waiting and transit metrics
- +Supports conventional group-control style analysis for dispatch assumption testing
- +Exports analysis outputs for cross-team review and operational documentation
- +Time-window comparisons make up-peak and lunch-peak impacts easy to see
- –Result quality depends heavily on input assumptions for building population and demand
- –More governance rigor is needed to keep scenario configurations consistent
Vertical transportation engineering
Validate dispatch and operating rules
Fewer bottleneck scenarios shipped
Building operations analytics
Measure peak and lunch-peak impacts
Targeted schedule and control changes
Show 1 more scenario
Real estate technology teams
Standardize performance reporting
Consistent documentation for stakeholders
Uses configuration-driven runs and exportable reports to standardize deliverables across portfolios.
Best for: Fits when elevator ops teams must compare dispatch and operating scenarios using repeatable traffic results.
KONE Elevator Traffic Planner
enterpriseCloud-based elevator traffic analysis and planning tool from KONE.
Scenario report outputs tie demand assumptions to interval and car loading outcomes for elevator bank configuration decisions.
KONE Elevator Traffic Planner is built for conventional dispatch planning and elevator bank configuration review using building population inputs and traffic scenarios. It generates simulation report outputs that connect handling capacity and round-trip behavior to interval choices and passenger arrival assumptions. It also supports scenario iteration for different operating periods such as up-peak, down-peak, and two-way peak demand patterns.
A tradeoff appears in the limited transparency of the internal dispatch logic compared with analysis tools that expose algorithm-level controls. Teams typically need disciplined input preparation for building population profiles and floor zoning assumptions before the simulation results become decision-grade. A common usage situation is a mid-size high-rise where traffic peaks and sky-lobby zoning assumptions must be stress-tested during group selection and scheduling review.
- +Simulation outputs map demand profiles to waiting, transit, and loading
- +Scenario iteration supports peak period comparisons for group sizing
- +Built around origin destination passenger-flow modeling inputs
- +Report outputs support dispatch and control performance review
- –Dispatch algorithm controls are less exposed than in analytics-first tools
- –Result quality depends on accurate building population profile inputs
- –Limited depth for custom zoning and unusual operating constraints
Planning and modernization teams
Compare traffic scenarios for group sizing
Faster configuration selection cycles
Building engineering analysts
Validate origin destination assumptions
Reduced performance uncertainty
Show 2 more scenarios
Design teams for high-rises
Test sky-lobby zoning impacts
Clearer zoning tradeoffs
Iterate zone and elevator group configurations and compare interval and loading effects.
Operations planners
Stress-test peak scheduling assumptions
Lower peak-time delay risk
Simulate up-peak and down-peak conditions to check interval and round-trip behavior under demand.
Best for: Fits when teams need scenario-based elevator group sizing with repeatable dispatch performance reports.
Trafkit
vertical specialistElevator traffic analysis software developed by DOPPLER elevator systems.
Dispatch-focused scenario evaluation that standardizes comparisons across peak periods using the same building demand inputs.
Trafkit’s core strength is scenario-based simulation for conventional elevator control decisions, where the same building population inputs can be evaluated across multiple dispatch and zoning configurations. Outputs emphasize service metrics needed for corridor-facing operations conversations, including interval-related waiting and ride experience measures. Integration is oriented around importing building and demand inputs and exporting results for review cycles, which fits teams that iterate frequently on design and operating parameters.
A notable tradeoff is that deeper automation requires building a repeatable input pipeline, since the analysis itself is driven by scenario setup rather than ad hoc queries on raw event streams. Trafkit fits best when a planning team has a defined building population profile and wants consistent comparison between two-way peak patterns, such as peak lunch demand, and alternative assignment rules.
- +Scenario comparison workflow keeps dispatch decisions auditable across iterations
- +Import-driven input handling reduces spreadsheet rerun errors during tuning
- +Analysis outputs map to planning metrics used for design review discussions
- +Supports peak-period evaluation for planning changes to service strategy
- –Requires disciplined scenario setup to avoid inconsistent assumptions
- –Automation depth depends on how inputs are prepared and re-ingested
- –Granular tuning can be slower than purely parameterized calculator models
Building performance analysts
Compare dispatch alternatives for peak periods
Faster configuration shortlisting
Elevator consultants
Validate zoning choices for tall buildings
Clearer design justification
Show 1 more scenario
Operations planning teams
Assess lunch-peak changes to service
Measurable service tradeoffs
Evaluate time-bounded demand scenarios to quantify waiting and trip outcomes.
Best for: Fits when planning teams need repeatable scenario studies for dispatch strategy comparisons without custom modeling work.
Elevate
vertical specialistElevate provides elevator traffic analysis and lift system performance modeling.
Engineering scenario runs that connect traffic conditions to dispatch and capacity performance outputs.
Elevate from peters-research.com focuses on elevator traffic analysis for real building operations and design inputs, with a workflow oriented around producing dispatch and capacity insights. Core capabilities center on analyzing demand patterns and resulting performance metrics such as waiting time and handling capacity, then mapping those results to operational strategies.
The product emphasizes structured scenario runs for up-peak and down-peak conditions and supports comparison across building population and elevator group settings. Results are presented to support engineering review rather than just dashboarding raw counters.
- +Scenario-based analysis for peak direction and condition changes
- +Model outputs include waiting-time and handling-capacity performance metrics
- +Designed for engineering review of dispatch and control implications
- +Emphasis on building population profile inputs and traffic intensity
- –Requires disciplined model setup to avoid misleading performance outputs
- –Automation and API integration options are less prominent than workflow depth
- –Visualization coverage for live telemetry is narrower than for simulation runs
- –Round-trip time and loading detail may require additional input rigor
Best for: Fits when building teams need structured elevator traffic analysis to compare control strategies.
AdSimulo
vertical specialistCloud-based elevator traffic analysis and lift simulation software with 3D visualization and BIM export.
Scenario versioning for side-by-side traffic simulations using the same building demand model and dispatch assumptions.
AdSimulo performs elevator traffic analysis by turning building and dispatch inputs into simulation outputs for performance planning.
The workflow centers on origin-destination demand modeling, time-based traffic peaks, and reportable handling capacity and waiting-time metrics.
It also supports scenario comparison so changes to zoning, control assumptions, or demand parameters can be evaluated side by side.
Integration depth is oriented toward automation through data import and repeatable configurations rather than interactive only modeling.
- +Scenario comparison makes it easy to validate peak-hour assumption changes
- +Origin-destination demand modeling supports realistic building population profiles
- +Report outputs target capacity and waiting-time metrics used in planning reviews
- +Repeatable configurations support batch-style runs for multiple elevator banks
- –Less suited for ad-hoc what-if modeling without predefined input templates
- –Automation surface depends on external data formatting discipline
- –Zoning variants require careful parameter mapping to avoid inconsistent results
- –Deep API extensibility is not the primary workflow focus
Best for: Fits when planning groups need repeatable elevator traffic simulation reports for peak-hour scenarios and capacity checks.
VT Planner
vertical specialistWeb-based elevator traffic planning, simulation, and statistical validation tool with PDF reporting.
Scenario-driven traffic simulation runs that keep demand patterns and bank performance outputs linked in one analysis cycle.
VT Planner focuses on elevator traffic analysis workflows that convert building inputs into simulation reports for dispatch and handling-capacity studies. It supports origin-destination style passenger flow modeling and produces metrics such as average waiting time and round-trip time for elevator banks.
Planning runs can be iterated around operational scenarios like up-peak, down-peak, or two-way peak demand patterns to compare outcomes across dispatch strategies. The tool’s practical strength is turning traffic assumptions into actionable performance outputs without manual spreadsheet reconstruction.
- +Generates interval-based performance metrics tied to passenger demand assumptions
- +Supports scenario iteration for up-peak, down-peak, and two-way demand studies
- +Outputs operational timing metrics like average waiting time and round-trip time
- +Models elevator bank behavior for planning-level capacity checks
- –Tight coupling to its analysis workflow limits flexibility for custom pipelines
- –Fewer integrations are available for automated handoff into other building tools
- –Complex input setup can slow iteration when passenger matrices change frequently
- –Reporting formats can require manual formatting for slide-ready delivery
Best for: Fits when elevator consultants need repeatable simulation outputs for bank sizing and dispatch comparison across peak scenarios.
Lift-Traffic
SMBBrowser-based lift traffic analysis tool with discrete-event simulation and animated playback.
Scenario deltas in the generated reports make it easy to attribute predicted changes to specific input shifts.
Lift-Traffic focuses on elevator traffic analysis for building teams that need repeatable input-to-report workflows across multiple time periods. It generates elevator usage insights from configurable arrival assumptions and building profiles, then outputs operational metrics like waiting and transit time distributions.
The product targets handoffs between dispatch strategy discussions and zoning or capacity planning by keeping scenario inputs structured and comparable. Reporting emphasizes scenario deltas so teams can evaluate changes in handling capacity and interval assumptions against predicted performance.
- +Scenario comparison reports highlight predicted deltas across multiple time windows
- +Configurable passenger arrival assumptions map directly into output performance metrics
- +Building profile inputs support elevator bank level analysis without heavy spreadsheeting
- +Exportable outputs fit review workflows for stakeholders outside the analysis team
- –Scenario setup can feel documentation dependent when inputs are incomplete
- –Automation and API surface for external model orchestration is not clearly documented
- –Advanced simulation variants are limited compared with higher-ranked tools
- –Zoning and dispatch modeling granularity may require iterative parameter tuning
Best for: Fits when building teams need repeatable, scenario-based elevator traffic analysis reports across peak windows.
Conclusion
After evaluating 7 facilities property services, Elevate Live stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right elevator traffic analysis software
This buyer's guide evaluates elevator traffic analysis software built around scenario-based simulation and reporting for dispatch and bank planning. The tool set includes Elevate Live, KONE Elevator Traffic Planner, Trafkit, Elevate, AdSimulo, VT Planner, and Lift-Traffic.
The narrative focus stays on how each platform ties input assumptions to interval performance and car loading outcomes. The comparisons also highlight where automation depth and governance rigor affect repeatable scenario work across peak windows.
Elevator traffic analysis software for dispatch scenario simulation and bank performance reporting
Elevator traffic analysis software models passenger demand and dispatch control behavior to produce interval metrics like waiting-time and transit outcomes plus handling-capacity performance for an elevator bank. The output is typically organized around peak periods and demand changes so scenario iteration can quantify how different assumptions shift predicted passenger experience.
Elevate Live is centered on scenario-based performance reports that connect observed time windows to waiting and transit results, which supports repeatable dispatch and operating scenario comparisons. Trafkit emphasizes dispatch-focused scenario evaluation with standardized comparisons across peak periods, using import-driven inputs to reduce spreadsheet rerun errors during scenario tuning.
Scenario-to-metrics linkage, comparability controls, and repeatable scenario governance
Elevator traffic analysis software has to tie passenger demand assumptions to interval outcomes like waiting time and transit results, then connect those outcomes to elevator bank performance so teams can validate dispatch decisions. The strongest tools make scenario comparisons traceable so teams can quantify how input shifts change time windows and car loading outcomes.
Scenario performance reports that map time windows to waiting and transit outcomes
Elevate Live links observed time windows to waiting and transit outcomes so dispatch and operating assumptions can be compared in repeatable scenario reports. Elevate also produces engineering scenario runs that output waiting-time and handling-capacity performance metrics for dispatch and capacity evaluation.
Demand-to-interval simulation outputs that include car loading outcomes
KONE Elevator Traffic Planner connects demand assumptions to interval performance and car loading outcomes for elevator bank configuration decisions. Trafkit emphasizes dispatch-focused scenario evaluation with standardized comparisons across peak periods and uses import-driven inputs to reduce spreadsheet rerun errors during tuning.
Scenario comparison workflow that keeps iterations auditable
Trafkit uses a dispatch-focused scenario evaluation workflow that standardizes comparisons across peak periods so dispatch decisions remain auditable across iterations. Lift-Traffic highlights scenario deltas in generated reports to attribute predicted changes to specific input shifts.
Scenario iteration model outputs for peak direction and peak condition changes
Elevate supports scenario-based analysis for peak direction and condition changes with model outputs that include waiting-time and handling-capacity performance metrics. KONE Elevator Traffic Planner supports scenario iteration for peak period comparisons to support group sizing decisions from dispatch performance reports.
Origin-destination demand modeling for realistic building population profiles
AdSimulo includes origin-destination demand modeling that supports realistic building population profiles and supports side-by-side scenario reports for peak-hour assumptions. Elevate Live and VT Planner both depend on accurate building population and demand assumptions for scenario output quality even though their workflow depth differs.
Choose by workflow philosophy: scenario reporting for operations versus simulation-first dispatch modeling
Selection should start with how scenario configuration and iteration are expected to happen in day-to-day elevator ops planning. Some platforms optimize for scenario reporting that ties observed windows to outcomes while others optimize for standardized dispatch evaluation or versioned simulation runs with strict input consistency.
Match reporting to decision timing and required traceability
If decisions depend on comparing specific observed time windows to waiting and transit results, Elevate Live provides scenario-based performance reports that link those windows to outcomes. If decisions are driven by dispatch strategy comparison across peak periods with import-driven inputs, Trafkit supports a dispatch-focused scenario evaluation workflow with standardized peak comparisons.
Decide whether scenario governance is part of the team workflow
If scenario configurations will be shared across roles, Elevate Live flags that result quality depends heavily on building population and demand assumptions and requires governance rigor to keep scenario configurations consistent. If scenario setup can be tightly controlled with templates, AdSimulo offers scenario versioning for side-by-side simulations using the same building demand model and dispatch assumptions.
Check whether the model outputs include elevator bank loading behavior
If elevator bank configuration decisions must use car loading outcomes alongside interval metrics, KONE Elevator Traffic Planner ties demand assumptions to interval and car loading outcomes. If capacity and handling constraints are required in outputs during dispatch and capacity comparison, Elevate includes waiting-time and handling-capacity performance metrics in scenario outputs.
Pick the tool that best fits repeatability across peak direction and two-way studies
For peak direction and condition change studies, Elevate supports peak direction and peak condition scenario analysis and outputs interval performance metrics tied to demand assumptions. For up-peak, down-peak, and two-way demand studies, VT Planner supports scenario iteration across those demand patterns in one analysis cycle.
Evaluate flexibility for ad-hoc what-if modeling versus template-driven studies
If teams need quick ad-hoc what-if modeling without predefined input templates, AdSimulo can be a mismatch because it is less suited to ad-hoc modeling outside predefined templates. If teams can work within a defined analysis workflow and accept tighter coupling, VT Planner keeps demand patterns and bank performance outputs linked in one analysis cycle.
Plan for integration depth based on how inputs will be prepared and re-ingested
If inputs will be prepared from external systems and re-ingested frequently, Trafkit’s import-driven input handling aims to reduce spreadsheet rerun errors during scenario tuning. If automated orchestration into other building tools is required, VT Planner notes fewer integrations are available for automated handoff compared with its workflow depth.
Who should use scenario-based elevator traffic analysis tools
These tools fit teams that run repeated peak window studies and need consistent outputs that can be reused for dispatch and elevator bank planning. They also fit consultants who package scenario reports for stakeholder review because the scenario approach makes changes attributable to specific input shifts.
Elevator ops teams validating dispatch and operating assumptions across repeatable scenarios
Elevate Live is built around scenario-based performance reports that connect observed time windows to waiting and transit outcomes so ops teams can compare operating scenarios. The tool’s scenario output quality depends on disciplined building population and demand inputs, which aligns with teams that already manage those assumptions.
Planning teams performing dispatch strategy comparisons across peak periods
Trafkit standardizes comparisons across peak periods with a dispatch-focused scenario evaluation workflow and import-driven input handling to reduce spreadsheet rerun errors. Its scenario comparison workflow keeps dispatch decisions auditable across iterations when scenario setup is kept consistent.
Consultants producing capacity and handling performance metrics for bank sizing
Elevate provides engineering scenario runs that output waiting-time and handling-capacity performance metrics for comparing control strategies. KONE Elevator Traffic Planner produces simulation outputs that map demand profiles to waiting, transit, and loading so consultants can justify bank sizing decisions.
Engineering groups running versioned peak-hour scenarios with origin-destination realism
AdSimulo offers scenario versioning for side-by-side traffic simulations using the same building demand model and dispatch assumptions. Its origin-destination demand modeling supports realistic building population profiles for capacity checks across peak-hour scenarios.
Common pitfalls in elevator traffic analysis scenario work
Scenario-driven elevator traffic analysis fails most often when input assumptions are inconsistent or when teams treat scenario configuration as a one-time spreadsheet task. Output metrics like waiting time and interval handling capacity become misleading when model setup changes without traceable scenario versions.
Changing building population or demand assumptions without tracking scenario consistency
Elevate Live warns that result quality depends heavily on input assumptions for building population and demand, so governance discipline is needed to keep scenario configurations consistent. Trafkit similarly flags that scenario setup requires discipline to avoid inconsistent assumptions across iterations.
Using the wrong workflow model for ad-hoc what-if questions
AdSimulo is less suited for ad-hoc what-if modeling without predefined input templates, so teams that need rapid freeform experiments can hit a workflow ceiling. VT Planner tightly couples its analysis workflow so it can limit flexibility for custom pipelines.
Assuming dispatch algorithm transparency is the same as analytics output control
KONE Elevator Traffic Planner notes that dispatch algorithm controls are less exposed than in analytics-first tools, so teams seeking deep dispatch control configuration may need a different workflow emphasis. Elevate Live’s scenario reporting and metric linkage can support operational scenario comparisons even when configuration exposure is not the primary design goal.
Underestimating documentation dependency when inputs are incomplete
Lift-Traffic notes scenario setup can feel documentation dependent when inputs are incomplete, so teams should validate input coverage before attempting peak window runs. AdSimulo and VT Planner still depend on disciplined scenario setup, but they center repeatable scenario runs on templates and linked workflow outputs.
How We Selected and Ranked These Tools
We evaluated Elevate Live, KONE Elevator Traffic Planner, Trafkit, Elevate, AdSimulo, VT Planner, and Lift-Traffic using features weight at 40% because scenario output quality and metric coverage drive usable elevator traffic analysis. We weighted ease of use and value at 30% each because teams must iterate scenario configurations across peak windows without constant cleanup.
We ranked Elevate Live highest because its scenario-based performance reports link observed time windows to waiting and transit outcomes with strong ties between time windows and metric results. The ranking also reflected Elevate Live’s stronger alignment to dispatch and operating scenario comparisons driven by repeatable traffic results.
Frequently Asked Questions About elevator traffic analysis software
How do Elevate Live and Trafkit differ in scenario comparisons for up-peak and down-peak planning?
Which tools generate origin-destination demand modeling outputs suitable for elevator zoning and group control sizing?
What breaks if a team needs time-window granularity beyond up-peak and down-peak in Trafkit or VT Planner workflows?
How does Elevate from peters-research.com handle engineering review outputs compared with spreadsheet-oriented traffic analysis?
When do Lift-Traffic scenario deltas help more than single-run performance snapshots?
How do AdSimulo and VT Planner approach scenario versioning for repeatable simulation comparisons?
Which tool is most aligned to elevator group-control sizing decisions using car loading metrics?
What integration and automation surfaces are typically required to run Elevate Live or KONE Elevator Traffic Planner inside existing workflows?
When teams need data migration from prior traffic models, how do Lift-Traffic and Trafkit compare in input structuring?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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