Google Cloud Service |
Purpose in Smart Traffic Management |
Google Cloud IoT Core / Edge TPU |
Connect IoT sensors, traffic cameras, and perform edge AI inference for real-time local decision-making. |
Pub/Sub |
Ingest high-throughput, real-time traffic data streams. |
Dataflow |
Handle both stream and batch data processing for detecting traffic events (e.g., congestion, accidents). |
BigQuery |
Store and query large-scale historical traffic data for predictive analytics and pattern detection. |
Vertex AI |
Train, deploy, and manage ML models for traffic forecasting, congestion detection, and accident prediction. |
Looker / Data Studio |
Provide interactive dashboards for city traffic authorities to monitor and analyze traffic flows. |
Cloud Functions |
Enable event-driven automation, such as sending reroute alerts to navigation apps. |
Cloud Run / GKE (Kubernetes Engine) |
Deploy scalable microservices for real-time traffic management APIs. |
Google Maps Platform APIs |
Deliver real-time rerouting suggestions, road conditions, and traffic status updates directly to drivers. |