Welcome to ParkingBuddy! The website where you can see up-to-date parkingstation-availability in south-tyrol and get predictions for future availability.
Open the class 'ParkingBuddyApplication' and run as 'Springboot App' (you'll need to wait less than a minute for it to be ready). Then open your browser on 'http://localhost:8080/'. Et-voilà: you can use our website!
In order to get the best predictions, a function will be automatically executed every day at 10:00 am to update the data files used for the prediction. However, since our website is not online, this will not be done, if the website is not running at that time. Therefore, we advise to update the latest data manually. You can do this by running the 'HistoricalData' class once, which will need approximately 20 minutes to complete.
Map
Displays all available parking lots and allows zooming in on areas of interest Clicking a parking lot reveals its detailed information.
Filter
Lets you select a municipality to view parking lots only within that area.
Parking Stations Dropdown Menu
Lists all available parking lots. Selecting one displays its detailed data below.
Parking Station Details
Shows key data for the selected parking station, including: total capacity, most recent count of available spots. If real-time data is unavailable, it only displays: “No real-time data available."
Prediction Graph
Displays the predicted number of free spots for the selected parking station and date, based on: time of day, day of the week, month and season etc.
Past Trend Graph
Shows the trend in free spots over the past seven days for the selected parking station.
We used java, html, css, javascript, springboot and data from opendatahub.com to realize this project.
Our classes are divided into the components:
- data getter: here we retrieve the data from the Open Data Hub and create classes from it
- data storage: to save data inside and read from files
- predicition: everything regarding the prediction
- website: here we setup the website via controller and added a service to save the data models and a scheduler to automatically download data files
Our system has the following architectural higlights:
Extensibility:
Different kinds of data from the open data hub can be retrieved.
-> add subclass of „getData“ for implementing the logic to get the data
-> add a subclass of “OpenData”, in which the data Objects are stored
Any subclass of OpenData can be stored with the CSVFile class
-> add a subclass of “OpenData” and call the CSVFile methods to read and save data
Storage classes to save Objects in different datatypes can be added
-> Add a storage class, which implements the interfaces saveData and ReadData
Model classes to make different data models can be added
-> Add new models, which implement the interface Model
Scalability:
New Parking stations don’t affect the architecture
-> The implementation can handle a change in the number of parking slots
Efficiency:
Minimal request of data from the OpenDataHub
-> Historical Data is requested and stored into files; no request for every website interaction is needed, what saves time and energy
Minimal generation of data models
-> The models for each parking station are generated during the initialization of the program; no need to generate them every time a user asks for a prediction
Division of Tasks:
Logic separation of software components into packages
-> The change of one part of the system, does not change the others
To realize this, we used reflection and division of components.