case-study

Predicting queue lengths at smart intersections

Predicting queue lengths at smart intersections

Event data from a Dutch province’s smart intersections was used to build a set of deep learning models able to predict real-time and future queue lengths at each red light. These predictions can be used to adjust traffic light priorities and durations, and to inform drivers.

Traffic flow forecasting at toll plazas

Traffic flow forecasting at toll plazas

Data from induction loops, local weather, historical ticketing and calendar data, were used to build operational traffic intensity models to predict traffic at toll plazas. Sharing forecasts with drivers allows them to make departure time changes and avoid congestion.