Parking Spaces Occupancy Prediction

Farag, Mohamed; Marcelin, Josh; Hanumaiah, Adi; Lau, Antonio; He, Kevin; Kwon, Eugene

Parking Spaces Occupancy Prediction

dc.contributor.author	Farag, Mohamed	en
dc.contributor.author	Marcelin, Josh	en
dc.contributor.author	Hanumaiah, Adi	en
dc.contributor.author	Lau, Antonio	en
dc.contributor.author	He, Kevin	en
dc.contributor.author	Kwon, Eugene	en
dc.date.accessioned	2023-12-10T16:01:59Z	en
dc.date.available	2023-12-10T16:01:59Z	en
dc.description.abstract	Across Virginia Tech’s campus, finding parking is consistently a source of frustration for students and faculty. During peak hours, locating free parking spots becomes a challenging task; leading to significant delays and increased traffic around campus. Leveraging modern data-driven technologies such as Smart City infrastructure and Intelligent Transportation, we can alleviate some of the school’s congestion and enhance the parking experience for Virginia Tech residents. The proposed solution is a web app that users can integrate into their daily commute. With the help of live data, the app will give real-time parking recommendations as well various other helpful insights. It will analyze the live data at each of the garages, to predict the occupancy of the garages at a given time of arrival. Machine learning will allow us to estimate the occupancy of each of the garages a given time into the future, depending on the distance to each garage, and provide a recommendation for which garage to target. The application will also allow for more effective collection of data for parking services and could eventually take into account more factors such as schedules and live traffic.	en
dc.identifier.uri	https://hdl.handle.net/10919/117169	en
dc.language.iso	en_US	en
dc.rights	Attribution 4.0 International	en
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/	en
dc.subject	Parking	en
dc.subject	Machine Learning	en
dc.subject	Garage	en
dc.subject	Prediction	en
dc.subject	Parking Prediction	en
dc.title	Parking Spaces Occupancy Prediction	en
dc.title.alternative	Parking Garages Occupancy Prediction	en
dc.type	Report	en
dc.type	Presentation	en
dc.type	Software	en