Scaling Real-Time Traffic Forecasting with a Graph-Aware Transformer
Uber has developed a new real-time traffic forecasting system called DeepETT, which enhances arrival time accuracy and overall traffic predictions. This system processes vast amounts of GPS data to provide real-time estimates for road segments, significantly improving the user experience. The improvements are expected to generate an additional $100 million in annual revenue for the company.
- ▪DeepETT improves long-trip arrival time accuracy by 6%.
- ▪The system processes upwards of 2 million real-time forecasts per second.
- ▪Uber's traffic forecasting system uses GPS data from drivers to predict road conditions.
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