StreetPulse.aiAfrican AI training data, traffic intelligence, urban sensing
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Lagos, Nigeria: Traffic Dataset for Traffic Signal Optimization and BRT Reliability

This city-level package provides corridor speed, travel-time reliability, and congestion dynamics to support procurement-ready analytics and AI workflows for teams operating in Lagos.

Dataset description

StreetPulse curates Lagos-specific traffic records with quality controls, timestamped refresh logic, and operational metadata so teams can deploy quickly without rebuilding baseline data pipelines.

Coverage can be configured by corridor, district, floodplain, or sensing zone depending on your deployment scope and decision cycle.

Real-world use cases in Lagos

  • Traffic management centers tune signal timing on overloaded intersections.
  • Delivery and ride-hailing operators improve ETA prediction and fleet dispatch.
  • Urban planners compare before/after outcomes of BRT, lane, or enforcement interventions.

Schema preview

Example fields from a pilot extract for Lagos. Final schema is aligned to your use case and licensing scope.

FieldDescription
segment_idSample field for traffic delivery in Lagos.
timestamp_utcSample field for traffic delivery in Lagos.
speed_kph_p50Sample field for traffic delivery in Lagos.
speed_kph_p95Sample field for traffic delivery in Lagos.
congestion_duration_minSample field for traffic delivery in Lagos.
incident_flagSample field for traffic delivery in Lagos.
confidence_scoreSample field for traffic delivery in Lagos.

Request the Lagos Traffic dataset

Share your deployment timeline and we will return a pilot scope, sample payload, and licensing path.