StreetPulse.aiAfrican AI training data, traffic intelligence, urban sensing
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Nairobi, Kenya: Traffic Dataset for Matatu Corridor Congestion and ETA Modeling

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 Nairobi.

Dataset description

StreetPulse curates Nairobi-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 Nairobi

  • 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 Nairobi. Final schema is aligned to your use case and licensing scope.

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

Request the Nairobi Traffic dataset

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