Department of Software Engineering - Lakehead University Degree Project
Many students and staff can attest to problematic parking at Lakehead University. To provide a simple, fast and effective solution to this problem, we have created a smart software application that makes finding a parking spot much easier. The software is implemented as a mobile application for smartphones that displays information such as free parking spaces, busy times, and the location of your parked car. When arriving at the university, it can be difficult to find an open parking spot and frustrating when you are running late. This application would provide a solution to this issue and provide additional benefits, such as saving the user time, reducing unnecessary stress, and helping to reduce the environmental impact of carbon emissions produced by motorized vehicles. Our initial testing and training of this project will be focused on the G campus parking lot at Lakehead University, but could be further expanded to other fields, such as public parking structures and mall parking lots.
This application will be technologically quite different from other parking applications that exist currently. Instead of relying on sensory data or IP cameras to locate and detect empty parking locations, this application will use machine learning techniques to determine whether you have parked your car or not and then use GPS location and network information to notify other users that the parking space has been filled. Additionally, when you have left your parking spot, our model will be able to accurately detect that and mark the parking space as free. Different machine learning classification methods will need to be tested to ensure that we have chosen the most appropriate model. The machine learning model will predict based on your speed before and after a full stop; it should be able to recognize the difference between walking and driving, which allows it to determine the stopping location.
Documents related to the development of this project are listed below: