Pittsburgh has ranked among the highest for frequency of crashes. The question is how to decrease the number of crashes. Hard braking is considered one of the most highly predictive variables for predicting future crashes. Normally harsh braking is tied to individual drivers. This application ties harsh braking events to location so that clusters/"hotspots" may be observed at certain locations over time.
This composite app has two parts. The front end app is a smartphone app which monitors drivers for harsh braking. When harsh braking occurs, that location is logged. Over time clusters of harsh braking may be observed on the map display, enabling individual drivers to change behavior at those locations. The back end is an anonymous, aggregate view of harsh braking events across drivers who choose to contribute to the city. A searchable map display of those aggregate events is available to the city traffic engineer. Again, clusters of harsh braking may be observed for the attention, with higher frequency clusters drawing attention of the traffic engineer for possible corrective action.