RR-06 RR-06-02-01 — Automated Track Inspection (geometry and rail flaw)
The Automated Track Inspection (ATI) process involves the use of advanced technologies to monitor and assess the condition of tracks, structures, and signals on a US Class I freight railroad. This ensures compliance with safety regulations and maintains optimal track conditions for efficient rail operations.
🗺 BPMN Process Flow
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📋 Process Attributes
| Process ID | RR-06-02-01 |
|---|---|
| Domain Family | OPERATIONS |
| L1 Domain | Engineering: Track, Structures & Signals |
| L2 Process Group | Automated Track Inspection (geometry and rail flaw) |
| Trigger | Scheduled maintenance cycle or detection of potential issues through routine monitoring systems |
| Outcome | A comprehensive report detailing the condition of tracks, structures, and signals, along with recommendations for necessary repairs or improvements. |
| Systems | NetControl I-ETMS Track geometry car RailAI Umler |
| Regulatory Hooks | 49 CFR Part 213 49 CFR Part 236, Subpart I GCOR 6.28 |
📋 L4 Process Steps
| Step | Name | Role | System | Input | Output | KPI | Pain Point / Risk | Decision? | Exception? |
|---|---|---|---|---|---|---|---|---|---|
| 1.1 | Initiate Inspection Schedule | Track Supervisor | NetControl | Maintenance schedule data | Scheduled inspection plan | Inspection coverage rate above 95% | Inaccurate scheduling leading to missed inspections | N | N |
| 1.2 | Deploy Track Geometry Car | Roadmaster | Track geometry car | Scheduled inspection plan | Raw data from track geometry car | Data collection accuracy above 98% | Technical failures in the track geometry car | N | Y |
| 1.3 | Analyze Raw Data | Track Supervisor | RailAI | Raw data from track geometry car | Analyzed report with identified issues | Issue detection rate above 90% | Inadequate AI model accuracy | Y | N |
| 1.4 | Review and Prioritize Issues | Chief Engineer / VP Engineering | Umler | Analyzed report with identified issues | Prioritized issue list | Issue prioritization accuracy above 85% | Subjective judgment in prioritizing issues | Y | N |
| 1.5 | Schedule Repairs | Track Supervisor | NetControl | Prioritized issue list | Repair schedule | Repair scheduling efficiency above 90% | Resource allocation conflicts | N | Y |
| 1.6 | Conduct Repairs | Assistant Foreman (track) | NetControl | Repair schedule | Completion report of repairs | Repair completion rate above 95% | Weather or equipment delays | N | Y |
| 1.7 | Verify Repairs | Roadmaster | Track geometry car | Completion report of repairs | Verification report | Repair verification accuracy above 98% | Inconsistent repair quality | Y | N |
| 1.8 | Update Maintenance Records | Track Supervisor | Umler | Verification report | Updated maintenance records | Record update accuracy above 95% | Data entry errors | N | N |
| 1.9 | Generate Final Report | Chief Engineer / VP Engineering | RailAI | Updated maintenance records | Final inspection report | Report generation time below 24 hours | System downtime affecting report generation | N | Y |
| 1.10 | Review Final Report | Track Supervisor | NetControl | Final inspection report | Approved final report | Report approval time below 48 hours | Discrepancies in the final report | Y | N |
| 1.11 | Update Regulatory Compliance Records | Track Supervisor | Umler | Approved final report | Updated regulatory compliance records | Compliance record accuracy above 90% | Inconsistent data entry | N | Y |
| 1.12 | Notify Stakeholders | Track Supervisor | NetControl | Updated regulatory compliance records | Notification to stakeholders | Stakeholder notification time below 72 hours | Communication breakdowns | N | Y |
📊 KPIs & Risk Register
KPIs
Inspection coverage rate above 95% Data collection accuracy above 98% Issue detection rate above 90% Issue prioritization accuracy above 85% Repair scheduling efficiency above 90% Repair completion rate above 95% Repair verification accuracy above 98% Record update accuracy above 95% Report generation time below 24 hours Report approval time below 48 hours Compliance record accuracy above 90% Stakeholder notification time below 72 hours
Key Risks
Technical failures in the track geometry car Resource allocation conflicts Weather or equipment delays Inconsistent repair quality Data entry errors Discrepancies in the final report Inconsistent data entry Communication breakdowns
Swim Lanes
Track Supervisor · 1.1, 1.5, 1.8, 1.10, 1.12 Roadmaster · 1.2, 1.7 Assistant Foreman (track) · 1.6 Chief Engineer / VP Engineering · 1.3, 1.4, 1.9