Curb-to-gate passenger flow time-series across live airport estates

Name: Curb-to-gate passenger flow time-series across live airport estates: continuous wait times, queue length, throughput and occupancy measured at each processing point (curbside, check-in, security, immigration, baggage), retained historically and scored predictively. The same measurement fabric also covers car parks, city spaces and event entrances, giving a comparable flow dataset across venue classes rather than airports alone
Creator: Beonic

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Curb-to-gate passenger flow time-series across live airport estates: continuous wait times, queue length, throughput and occupancy measured at each processing point (curbside, check-in, security, immigration, baggage), retained historically and scored predictively. The same measurement fabric also covers car parks, city spaces and event entrances, giving a comparable flow dataset across venue classes rather than airports alone

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Coverage

Universe, instruments and categories.

Industry: Airport ServicesApplication Software
Instruments: equities
Categories: Alternative

Dataset card

Type: not stated
Format: Tabular high-frequency time-series (per processing point: timestamp, queue length, wait minutes, throughput rate, occupancy), backed by vision-derived counting and exposed through the vendor's analytics and alerting layers; historical series are queryable rather than live-only
Volume: Order 10^9-10^10 measurement rows per year across the estate. Basis: multiple processing points per airport (curbside, check-in lanes, security halls, immigration, baggage) x per-minute or faster sampling x continuous operation x the named airports, with a parallel car park and city-space estate. Each hub airport contributes tens of millions of reduced rows annually; raw vision-derived sensing sits an order of magnitude higher in bytes. Archive compounds this annually since the historical layer is retained, not overwritten
Users: N/A — B2B venue-deployment platform with no consumer account base; scale must be read per instrumented site and per processing point, not per registered user. Staff and visitor notification features operate on operator-managed audiences, not signups
History: 7 years
Update frequency: not stated
Growth: Active — live, actively maintained marketing estate with current solution pages and a partner logo wall; a dedicated enterprise sales leadership role covering the Americas; and stated expansion beyond airports into smart cities, car parks and event entrances, indicating vertical diversification rather than a single-market product at rest
Launched: Est. mid-2010s for the operating company; queue analytics as a later vertical line. Basis: firmographic profile puts the firm at ~54 staff and ~$16M revenue with Sydney headquarters — a shape that takes roughly a decade to reach, not a young startup — while queue management is presented as one solution line within a broader analytics and customer-data platform portfolio. No founding date is printed on the retrieved pages, so treat the window as a floor, not a fact, and confirm the year with the vendor
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

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