RailBlock AI

Field Execution Monitor

Closed-loop maintenance feedback system — planned vs. actual outcomes, variance analysis, and learning for future planning

Closed-Loop Feedback KPIs

Updated from field outcomes
Total Executions
23

Recorded field outcomes

Closed-loop records in dataset

Average Variance
-8 min

Under planned duration

Average execution finished earlier than planned

Overrun Rate
12%

Executions exceeding plan

Formula: (actual > planned) / total_executions

Block Wastage
6.5%

Unused possession time

Formula: (unused_min / planned_min)

Active Field Possessions

0 ACTIVE IN FIELD
Loading active possessions...

Execution Records Table

Block IDSectionDepartmentPlannedActualVarianceCompletion %StatusReasonActions
No execution records found.

AI RECOMMENDS → CONTROLLER APPROVES → FIELD EXECUTES → ACTUAL OUTCOME RECORDED → FEEDBACK TO FUTURE PLANNING

Closed-Loop Maintenance Lifecycle · Continuous learning calibrates future corridor section buffers automatically.