Space Sherpa COLA V3.1

Advanced Space Traffic Management & Coordination System. TraCCS-integrated conjunction analysis, econometric impact modeling, orbital carrying capacity, and AI-powered policy simulation.

Tracked Objects

Satellites in monitoring window

Close Approaches

Predicted conjunctions

V3.0 — New Capabilities

TraCCS Pipeline

CDM ingestion, conjunction screening, risk metrics

Econometric Engine

Satellite reliance impact, outage exposure modeling

Orbital Capacity

LEO/MEO/GEO carrying capacity trending

Policy Simulator

What-if STM policy mechanism analysis

AI Findings HUD

ML-powered recommendations for policymakers

Quick Tips

1Click satellites on the 3D globe to view details and ride alongside them.
2Switch to Covariance View to see wire mesh uncertainty ellipsoids.
3Use the Policy tab to simulate STM interventions and measure impact.
4The AI HUD synthesizes all data into actionable recommendations.

Settings

Data Mode

Current ModeDemo (Simulated)

Alert Thresholds

Miss Distance Threshold1.0 km

Collision Probability0.0100%

V3.0 TraCCS Configuration

CDM Refresh Rate8 hrs (simulated)

Screening Volume5 km × 25 km × 5 km

Covariance RealismScaled (3σ)

TraCCS Data Pipeline

Traffic Coordination System for Space — CDM ingestion, conjunction screening, and risk assessment feeds

CDMs Processed (24h)

1,247

Conjunction Data Messages

▲ 12.3% vs yesterday

High-Interest Events

Pc > 1e-4 threshold

▲ 3 new since last screening

Maneuver Decisions Pending

Awaiting operator response

— 2 within 24h TCA window

Data Providers Active

SSA contributing sources

▼ Healthy — all feeds nominal

Avg. Screening Latency

4.2

minutes from observation to CDM

▼ 0.8 min improvement

Ephemeris Quality Score

Fleet-wide mean (0-100)

▼ Improving from 82 last week

CDM Volume — 30 Day Trend

Conjunction Risk Distribution (Current Window)

Space Economy Impact Engine

Econometric modeling linking satellite reliance to Fortune 500 performance — MITRE IR&D methodology

Satellite Reliance Premium

+70.3%

Market cap advantage (F500)

Weekly Outage Exposure

$78.6M

Revenue at risk per firm

Monthly Outage Exposure

$337.0M

Revenue at risk per firm

Gross Profit Premium

+43.9%

Satellite-reliant vs non-reliant

Projected COLA Count Impact on GDP Exposure

Decision Velocity Dividend — Latency Cost Model

Each hour of delayed conjunction response increases aggregate economic exposure by an estimated $2.3M across satellite-reliant F500 firms. The decision-velocity dividend framework models the ROI of faster STM coordination — faster screening, faster operator notification, faster maneuver decisions.

Orbital Carrying Capacity

Managing LEO as a commons — regime-by-regime capacity utilization, Kessler threshold monitoring, and trend analysis

LEO (200–2000 km)

72%

Utilized

▲ Trending Up — +1.8%/yr

MEO (2000–35786 km)

35%

Utilized

— Stable

GEO (35786 km)

85%

Utilized

▲ Critical — slots constrained

LEO Object Count Projection (2025–2040)

Kessler Cascade Risk Index

Monte Carlo simulation of debris-generating collision probability over 50 years. Three scenarios: baseline (no intervention), moderate ADR (5 objects/yr), aggressive ADR (20 objects/yr).

STM Policy Simulator

What-if scenario engine — adjust policy mechanisms and observe projected impact on conjunction rates, capacity, and operator behavior

Policy Levers

ADR Mandate (objects/yr) 5

Insurance Requirement ($M/sat) 2.0

Disposal Compliance (%) 60

Info Sharing Rate (%) 40

Passivation Mandate (%) 70

Projected Impact (10yr Horizon)

COLA Count Δ

-18.4%

Debris Environment Δ

-12.1%

Capacity Headroom Δ

+8.6%

Economic Risk Reduction

$4.2B

Behavioral Nudge Scorecard — Operator Compliance

Nudge-based choice architecture where responsible behaviors become easier and more visible — accelerating norms without requiring formal treaty negotiation.

Starlink (SpaceX)

OneWeb

A-

Planet Labs

B+

Amazon Kuiper

Iridium NEXT

Telesat LEO

B-

AI Findings & Recommendations

ML-powered analysis synthesizing TraCCS feeds, econometric models, capacity trending, and policy scenarios into actionable intelligence for policymakers

Priority Findings

Critical — Capacity

LEO Shell 500-600km Approaching Congestion Threshold

COLA rates in the 500-600km shell have increased 34% over 6 months. At current constellation deployment rates, this shell will exceed sustainable carrying capacity within 18 months. Recommend: accelerate ADR mandate to 10 objects/yr in this regime and incentivize operators to shift new deployments to 400-500km where capacity headroom remains at 45%.

Open Policy Simulator →

Warning — Economic

Information Sharing Gap Costs $2.1B Annually in Unnecessary Maneuvers

Analysis of TraCCS CDM data shows 38% of avoidance maneuvers are triggered by high-uncertainty conjunctions where better ephemeris sharing would have reduced Pc below threshold. Estimated fuel cost: $420M/yr. Estimated mission-life cost: $1.7B/yr. Increasing information sharing from 40% to 75% would reduce unnecessary maneuvers by an estimated 52%.

View Economic Model →

Insight — Behavioral

Operator Compliance Correlates with Public Transparency

Operators who publish annual space sustainability reports show 23% higher norm compliance scores and 31% fewer near-miss events. Nudge recommendation: establish a voluntary "Space Stewardship" certification with public registry — low-cost, high-signal mechanism that leverages reputational incentives without requiring regulatory action.

Simulate Nudge Impact →

Positive — Trend

TraCCS Screening Latency Improved 16% This Quarter

Average time from observation to CDM generation has decreased from 5.0 to 4.2 minutes. This improvement directly enables faster operator decision-making, contributing an estimated $180M/yr in decision-velocity dividend across the satellite operator ecosystem. Recommend: continue investment in automated screening pipeline optimization.

View TraCCS Dashboard →

Policy Simulation Queue

AI has identified 3 high-impact policy scenarios for policymaker review. Each combines multiple levers to maximize COLA reduction while minimizing operator burden.

Scenario A: ADR 15/yr + 80% disposal + 60% sharing → -31% COLA

Scenario B: Insurance $5M + 90% passivation + stewardship cert → -24% COLA

Scenario C: Comprehensive — all levers at moderate intensity → -42% COLA

Normative Influence Metrics

Operators Sharing Ephemeris

40% → 58%

6-month trajectory (improving)

Avg. Norms Compliance

74/100

Fleet-wide NORMSAT score

Voluntary Maneuver Rate

67%

Operators acting on CDM alerts