New Tyne Crossing Transport Appraisal System

Rationale: Validates that the Network Coding Module to Simulation Execution Manager interface correctly handles corrupted input, ensuring data quality gating prevents invalid models from entering simulation.

Rationale: Confirms that the Signal Controller Emulator correctly receives and applies signal timing plans from the Simulation Execution Manager, which is critical for accurate junction delay modelling.

Rationale: Validates that journey time matrix extraction from microsimulation produces results comparable with the demand model inputs, ensuring consistency between the microsimulation and demand modelling subsystems.

Rationale: Confirms that the Trip End Forecasting to Trip Distribution interface correctly transfers trip end data, ensuring that demand model components are properly chained.

Rationale: Validates highway assignment convergence and confirms that assignment results meet TAG unit M3.1 convergence criteria, ensuring that user benefit calculations are based on a stable assignment.

Rationale: Confirms demand-supply convergence loop operates correctly, which is essential for variable demand modelling as required by TAG unit M2.

Rationale: Validates that matrix estimation produces credible adjustments to the prior matrix using synthetic data with known ground truth, confirming the estimation algorithm works correctly before applying to real data.

Rationale: Confirms that cordon matrix extraction from assignment outputs produces correct sub-area matrices, which are essential for feeding microsimulation models with demand data from the strategic model.

Rationale: Validates the critical demand model to economic appraisal interface, ensuring benefit calculations receive correct scenario outputs with all required metrics.

Rationale: Confirms air quality and noise receptor results transfer correctly to the EIA Module for aggregation into the environmental statement.

Rationale: Validates GHG emissions data transfer for correct monetisation using BEIS carbon values, ensuring TAG A3 reporting accuracy.

Rationale: Confirms that link-level traffic data transfer from the demand model to environmental assessment uses consistent vehicle classifications and road link references, preventing mismatched spatial data between subsystems.

Rationale: Validates the Traffic Survey Data Processor to Matrix Estimation interface, confirming that count data format and quality flags are correctly transferred and interpreted.

Rationale: Confirms network data integrity across the Network Data Repository to Highway Assignment interface, preventing model corruption from incomplete or stale network transfers.

Rationale: Validates cost data transfer to the Public Accounts Calculator, ensuring optimism bias and cost category disaggregation are preserved through the interface.

Rationale: Confirms socioeconomic attribute transfer for distributional impact analysis, ensuring zone-level deprivation and protected characteristic data reach the assessor correctly.

Rationale: Validates planning data adjustment factor transfer, ensuring local development adjustments correctly modify NTEM base trip ends.

Rationale: Confirms count data transfer with quality grades from the Traffic Count Database, validating that data quality metadata is preserved through the interface for matrix estimation weighting.

Rationale: Validates receptor dataset transfer from the Receptor Mapping Engine, confirming spatial accuracy, receptor classification, and minimum receptor count requirements.

Rationale: Confirms trip rate dataset transfer including confidence intervals, which are essential for demand model calibration and uncertainty analysis.

Rationale: Validates spatial overlay computation for environmental constraint assessment, confirming intersection area and proximity calculations match expected values for known test geometries.

Rationale: Confirms zonal planning data transfer from the Land Use and Planning Data Manager, validating that NTEM control total compliance is correctly flagged per zone.

Rationale: Validates coded network transfer from the GIS Repository to Highway Assignment, confirming attribute completeness and format compatibility with assignment software.

Rationale: Speed-flow calibration is the primary determinant of microsimulation model validity. Unreproducible link performance invalidates journey time outputs for economic appraisal.

Rationale: Highway assignment convergence and screenline validation are TAG mandatory checks. Non-converged assignment produces unstable route choice rendering option comparison unreliable.

Rationale: Air quality model verification against monitoring data is required by DMRB LA 105. Unverified outputs cannot support Environmental Statement conclusions.

Rationale: GHG quantification supports TAG A3 environmental valuation and NPSNN carbon compliance. Independent verification needed as the carbon case is material to the planning decision.

Rationale: TAG M3.1 requires demonstration that microsimulation outputs are statistically stable. Insufficient seed runs produce unstable journey time estimates undermining economic appraisal.

Rationale: Demand-supply convergence is mandatory for TAG variable demand modelling. Non-converged runs produce arbitrary demand responses invalidating the economic case.

Rationale: Optimism bias directly affects BCR and VfM category. Incorrect uplift percentages could lead to wrong investment decision classification.

Rationale: Demonstration validates end-to-end data flow from BCR/AST Generator to Report Template Engine. JSON schema validation and field completeness checks verify the interface contract is met, catching integration failures before they propagate into published reports.

Rationale: Environmental outputs must cover all 14 DMRB LA 104 topics for EIA compliance. Testing against a representative crossing option confirms the interface delivers complete chapter-level assessments with required significance ratings and mitigation details.

Rationale: Junction performance verification uses a controlled set of 5 representative junctions to confirm data fidelity. Checking V/C ratios, queue lengths, and delays with documented precision ensures the microsimulation-to-reporting interface preserves the numeric accuracy needed for transport assessment.

Rationale: Map output verification confirms dual-resolution rendering (300 DPI print, 72 DPI web) and accessibility metadata. Alt-text presence for each layer is a WCAG 2.1 requirement for public consultation materials.

Rationale: Scenario matrix verification with a 4x3x2 factorial design (24 combinations) confirms the interface correctly transmits all scenario variants. Incomplete scenario transfer would silently omit sensitivity test results, undermining the robustness analysis required by TAG Unit M4.

Rationale: Sifting matrix verification with 4 test options confirms all required fields (IDs, criteria, scores, narrative) are transferred correctly. Data integrity at this interface directly affects the option comparison outputs presented to decision-makers.