dc.contributor.author | Rajabioun, T. | en |
dc.contributor.author | Foster, B. | en |
dc.contributor.author | Ioannou, Petros A. | en |
dc.creator | Rajabioun, T. | en |
dc.creator | Foster, B. | en |
dc.creator | Ioannou, Petros A. | en |
dc.date.accessioned | 2019-12-02T10:38:04Z | |
dc.date.available | 2019-12-02T10:38:04Z | |
dc.date.issued | 2013 | |
dc.identifier.isbn | 978-1-4799-0997-1 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/57571 | |
dc.description.abstract | In this paper a new parking guiding and information system is described. The system assists the user to find the most suitable parking space based on his/her preferences and learned behavior. The system takes into account parameters such as driver's parking duration, arrival time, destination, type preference, cost preference, driving time, and walking distance as well as time-varying parking rules and pricing. Moreover, a prediction algorithm is proposed to forecast the parking availability for different parking locations for different times of the day based on the real-time parking information, and previous parking availability/occupancy data. A novel server structure is used to implement the system. Intelligent parking assist system reduces the searching time for parking spots in urban environments, and consequently leads to a reduction in air pollutions and traffic congestion. On-street parking meters, off-street parking garages, as well as free parking spaces are considered in our system. © 2013 IEEE. | en |
dc.source | 2013 21st Mediterranean Conference on Control and Automation, MED 2013 - Conference Proceedings | en |
dc.source | 2013 21st Mediterranean Conference on Control and Automation, MED 2013 | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84885233131&doi=10.1109%2fMED.2013.6608866&partnerID=40&md5=5511c903b8e7b42027420dd0493e1c29 | |
dc.subject | Information systems | en |
dc.subject | Algorithms | en |
dc.subject | Forecasting | en |
dc.subject | Availability | en |
dc.subject | Traffic congestion | en |
dc.subject | Prediction | en |
dc.subject | Urban environments | en |
dc.subject | Arrival time | en |
dc.subject | On-street parking | en |
dc.subject | Parking | en |
dc.subject | Parking Guiding and Information Systems | en |
dc.subject | Parking informations | en |
dc.subject | Parking locations | en |
dc.subject | Parking spaces | en |
dc.subject | Prediction algorithms | en |
dc.subject | Searching time | en |
dc.title | Intelligent parking assist | en |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.identifier.doi | 10.1109/MED.2013.6608866 | |
dc.description.startingpage | 1156 | |
dc.description.endingpage | 1161 | |
dc.author.faculty | Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
dc.author.department | Τμήμα Μαθηματικών και Στατιστικής / Department of Mathematics and Statistics | |
dc.type.uhtype | Conference Object | en |
dc.description.notes | <p>Conference code: 99950 | en |
dc.description.notes | Cited By :12</p> | en |
dc.contributor.orcid | Ioannou, Petros A. [0000-0001-6981-0704] | |
dc.gnosis.orcid | 0000-0001-6981-0704 | |