Case study — Digital Experience

Airport Passenger Flow Simulation Engine

Browser-based digital twin for simulating check-in passenger flows, counter queues, and SLA choke states on interactive airport maps.

ReactTypeScriptViteMapLibre
Client
Airport Passenger Flow Simulation Engine
Role
Product design & 3D engineering
Platform
Web · Mobile & Desktop
Airport Passenger Flow Simulation Engine interface
01 — Overview

A clearer way through a complex experience

Browser-based digital twin for simulating check-in passenger flows, counter queues, and SLA choke states on interactive airport maps.

Enabled data-driven replay of departure schedules (Changi and Kolkata/CCU pipelines). Visualized passenger density, routes, and counter choke on an interactive map. Bridged operational flight data with indoor routing and taxonomy-based map objects. Provided a foundation for digital twin scenarios: capacity planning, SLA tuning, and terminal what-if analysis.

Airport Check-inSimulation Domain
364 days / ~70k departuresKolkata Schedule Coverage
ECS + SystemsEngine Pattern
4Core phases
The Challenge — Airport Passenger Flow Simulation Engine
The Challenge

The Challenge

Airport operators and planners lack a unified way to replay real schedule data, visualize passenger movement on terminal maps, and stress-test check-in capacity and service-level agreements before operational changes.

The Solution — Airport Passenger Flow Simulation Engine
The Solution

The Solution

Built a reusable simulation engine with an airport domain layer that ingests flight forecast data, spawns passengers over time, routes them across map geometry via the Meta Atlas SDK, and renders live queue and SLA state on MapLibre GL.

The System — Airport Passenger Flow Simulation Engine
The System

A connected system built for the experience

The experience combines React, TypeScript, Vite, MapLibre in a responsive system designed to stay clear, fast, and reliable across devices.

The Outcome

A measurable result, designed into the product

Enabled data-driven replay of departure schedules (Changi and Kolkata/CCU pipelines). Visualized passenger density, routes, and counter choke on an interactive map. Bridged operational flight data with indoor routing and taxonomy-based map objects. Provided a foundation for digital twin scenarios: capacity planning, SLA tuning, and terminal what-if analysis.

02 — Key Features

Built around the moments that matter

01

Interactive mapping

Spatial information is presented through an interactive map built for intuitive exploration.

02

Analytics and monitoring

Operational dashboards turn system activity into clear, actionable insights.

03

Indoor navigation

Guided navigation helps users move confidently through complex indoor environments.

04

Browser-based access

The system runs in the browser, reducing setup friction across supported devices.

05

Navigation

Navigation is built into the system as a core user-facing capability.

06

Monitoring

Monitoring is built into the system as a core user-facing capability.

03 — Gallery

Inside the experience

Airport Passenger Flow Simulation Engine gallery view 1
Enabled data-driven replay of departure schedules (Changi and Kolkata/CCU pipelines). Visualized passenger density, routes, and counter choke on an interactive map. Bridged operational flight data with indoor routing and taxonomy-based map objects. Provided a foundation for digital twin scenarios: capacity planning, SLA tuning, and terminal what-if analysis.
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