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passenger-service

Simulate airport passenger journeys with queue forecasting and congestion alerts.

11|Updated Mar 23, 2026
Search Tags:#workflow#simulation#forecasting#airport#security-queue#wheelchair-accessibility
One-click install
npx skills add https://github.com/Jupiter41/arthur-airport --skill passenger-service
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: passenger-service
Source: https://github.com/Jupiter41/arthur-airport/tree/main/services/passenger-service
Command: npx skills add https://github.com/Jupiter41/arthur-airport --skill passenger-service

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

passenger-service provides a complete, self-contained model of airport passenger movement, including check-in, security queues, airside transitions, boarding, arrivals, and connection risk, enabling rapid experimentation and governance for digital twin scenarios.

Core Features & Use Cases

  • State-machine based departure and arrival workflows with queueing and dwell times
  • Security throughput modelling with multi-terminal lanes and congestion detection
  • ML-based queue depth forecasting with retraining and real-time predictions
  • 1C accessibility / wheelchair pool integration and SLA analytics

Quick Start

Run the passenger-service skill to initialize a synthetic airport twin, load data, and observe flow, forecasts, and alerts in the REST API.

Frequently Asked Questions about passenger-service

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I simulate airport passenger flow from check-in to boarding?▼

Airport passenger flow simulation models journeys from check-in to boarding using state-machine workflows with queueing and dwell times. The twin initializes a synthetic airport to enable rapid digital twin experimentation and governance.

Can I forecast security queue depth and detect airport congestion?▼

Security queue depth forecasting uses ML-driven predictions with adaptive retraining to estimate wait times. Multi-terminal lane modeling triggers real-time congestion alerts when throughput bottlenecks emerge.

Does the airport passenger simulation support wheelchair accessibility workflows?▼

Wheelchair accessibility workflows integrate 1C accessibility pool management with SLA analytics. The simulation tracks assistance requests and service level compliance throughout the passenger journey.

Do I need Neo4j and Kafka to run airport passenger flow forecasting?▼

Neo4j and Kafka integrate with the airport passenger twin to support hybrid data streaming. Optional BTS data integration supplements the synthetic model for enhanced forecasting accuracy.

How many terminals can the airport passenger simulation model handle?▼

The airport passenger simulation targets three terminals with multi-terminal security lanes and connection risk modeling. It processes departures, arrivals, and airside transitions across the network simultaneously.

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