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Blackbook.ai

Parking Infringement Prediction

A large city council engaged Blackbook.ai to build a model capable of predicting areas with higher likelihood of parking infringements.

Industry

Public Sector

Technology stack

Predictive Analysis

Machine Learning

Industry

Public Sector

Technology stack

Predictive Analysis

Machine Learning

Industry

Public Sector

Technology stack

Predictive Analysis

Machine Learning

The 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.

The 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.

The outcomes

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.

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