V2412 Install - Eng Meet Train Embarkation V110

Then:

| Component | Minimum Specification | |-----------|----------------------| | | Windows 10 IoT Enterprise LTSC / Ubuntu 22.04 LTS (check your deployment) | | RAM | 16 GB (32 GB recommended for v2412 simulation) | | Storage | 50 GB free (SSD required) | | Dependencies | .NET 8.0 Runtime, Python 3.11+, Docker (for containerized embarkation modules) | | Network | Gigabit Ethernet, low-latency to train PLCs/TIMS | eng meet train embarkation v110 v2412 install

meet-ctl --host localhost:5050 register-embark \ --service-name embark-v2412 \ --endpoint http://172.20.0.3:8080/embark \ --version v2412 Expected output: "passenger_load":85' Monitor embarkation logs:

embark_version: v2412 train_composition: - car_id: "CAR-01" doors: 4 capacity: 120 - car_id: "CAR-02" doors: 4 capacity: 120 boarding_protocol: method: "asymmetric" # new in v2412 min_dwell_time_sec: 20 max_dwell_time_sec: 45 sensors: - type: lidar enabled: true - type: loadcell threshold_kg: 5000 meet_integration: listen_port: 8080 rpc_timeout_ms: 5000 Apply: eng meet train embarkation v110 v2412 install

# Stop v2412 docker stop embark-v2412 && docker rm embark-v2412 meet-ctl --host localhost:5050 deregister-embark --service embark-v2412 systemctl restart meet-v110

curl -X POST http://localhost:5050/api/v1/simulate/arrival \ -H "Content-Type: application/json" \ -d '"train_id":"TX-100","platform":"A","passenger_load":85' Monitor embarkation logs: