GEO-INFER-TRANSPORT

Instructions

Core Capabilities

• Traffic simulation: BPR (Bureau of Public Roads) microsimulation with V/C ratios
• Traffic forecasting: EWMA model with trend estimation and confidence intervals
• Network analysis: Critical link identification, connectivity metrics
• Emissions: Transportation emissions calculation (integrates with LOG)
• Route optimization: Multi-criteria route selection

Key Imports

from geo_infer_transport.core.traffic import simulate_traffic, forecast_traffic
from geo_infer_transport.core.network import TransportNetwork
from geo_infer_transport.core.routing import RoutingEngine

Examples

from geo_infer_transport.core.traffic import simulate_traffic

demand = {"matrix": [[100, 50], [30, 80]]}
result = simulate_traffic(demand, simulation_hours=1, time_step_seconds=15)
print(f"Completed trips: {result['statistics']['completed_trips']}")

Guidelines

• simulate_traffic uses real BPR delay function (not hardcoded)
• forecast_traffic uses EWMA + trend estimation (not fake cyclic variation)
• Emissions bridged from LOG module via optional import
• Test: uv run python -m pytest GEO-INFER-TRANSPORT/tests/ -v

Integrations

• LOG → Emissions calculator and route optimization
• ECON → Transportation cost for trade flows
• EMERGENCY → Evacuation route planning
• HEALTH → Healthcare accessibility travel times
• SPACE → Road network spatial indexing