The City of Singapore faced numerous challenges with its traditional parking system, such as traffic congestion, wastage of time, and increased air pollution. Moreover, finding a parking space in Singapore’s central areas is a significant challenge, and drivers frequently need to circle the block multiple times, wasting valuable time and fuel. These issues resulted in the need for a smart parking solution that could help drivers find a vacant parking spot quickly and efficiently. Quantilus developed Android & iOS mobile apps as well as a Facebook Messenger Bot to address the challenges for the City of Singapore, leveraging data science.
Several factors warrant the need for a smart parking solution for the City of Singapore:
These problems highlight the need for a smart parking solution that can provide real-time information on parking availability, reduce search time for drivers, and increase the efficiency of parking management.
To address the problems, Quantilus developed a smart parking solution that leverages Open Data. The solution involved building a mobile application and Facebook Messenger Bot, which uses Machine Learning algorithms to predict the availability of parking slots at the current time and possible future demand through analysis of historical & actual parking patterns.
Some of the features of the smart parking solution app and messenger bot included:
To predict parking slot availability and future demand, Linear Regression technique was used. Linear regression is a type of statistical modeling technique used to analyze the relationship between a dependent variable (in this case, the availability of parking slots) and one or more independent variables (such as time of day, day of the week, and weather conditions).
Historical data on parking slot availability and relevant independent variables were collected and used to train the model. This involved selecting and preprocessing the data, as well as selecting appropriate features and labels for the training data.
Once the model was trained, it was used to make predictions about the availability of parking slots at a particular time in the future based on the input of independent variables such as time of day, day of the week, and weather conditions. These predictions can then be displayed in the app and messenger bot in real-time, allowing users to plan their parking accordingly.
By using machine learning algorithms, the smart parking solution can provide real-time updates on parking slot availability and predict future demand, helping drivers save time and reduce frustration.
Benefits of Quantilus’s product include: