"The Truck in the Saigon River": Architecting Map Matching Systems for GPS Urban Canyon Noise
Answer-first: Raw GPS data from IoT devices in dense urban environments suffers severe degradation due to the Urban Canyon effect. Traditional filters like Kalman fail because they lack spatial awareness (topology). The standard architectural solution is a Streaming Pipeline (using Kafka for backpressure) paired with a Map Matching Engine (OSRM or GraphHopper) powered by a Hidden Markov Model (HMM) to snap coordinates back to the road network at sub-50ms latency. ...