Technology Stack
Predictive Analytics
Challenge
The city council had limited parking infringement officers to monitor inner city parking limits. To enable more efficient use of their limited resources, the council wanted to have their officers monitoring areas where there was a higher likelihood of infringements.
Solution
Using three years of historical infringement data, weather forecasts, upcoming events plus other causal factors, Blackbook developed an advanced machine learning model that forecasts the number of infringements per street, and schedules parking infringement officers efficiently to match the forecasts.
Outcome
The council was able to better roster their team of parking infringement officers to areas with a higher probability of infringements, better enforcing their inner city parking limits due to more effective allocation their resources.