Please use this identifier to cite or link to this item:
http://hdl.handle.net/10071/32107
Author(s): | Alface, G. Ferreira, J. C. Pereira, R. |
Editor: | Ana Lúcia Martins Joao Carlos Ferreira Alexander Kocian |
Date: | 2020 |
Title: | App guidance for parking occupation prediction |
Volume: | 310 |
Book title/volume: | Intelligent transport systems: From research and development to the market uptake: Third EAI International Conference, INTSYS 2019 |
Pages: | 172 - 191 |
Event title: | 3rd EAI International Conference on Intelligent Transport Systems, INTSYS 2019 |
Reference: | Alface, G., Ferreira, J.C., & Pereira, R. (2020). App guidance for parking occupation prediction. In A. L. Martins, J. C. Ferreira, & A. Kocian (Eds.) Intelligent Transport Systems. From Research and Development to the Market Uptake. INTSYS 2019. (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 310, pp. 172-191). Springer. https://doi.org/10.1007/978-3-030-38822-5_12 |
ISSN: | 1867-8211 |
ISBN: | 978-3-030-38822-5 |
Keywords: | Parking occupancy Prediction Mobile App |
Abstract: | This research work presents a prototype model, focused on an android application, to handle the problem of finding an available parking space during driving process for all type of road vehicles in a city using historical data and prediction methods, where there is not any type of real-time system to provide information about the current state of the parking lot. Different source data integration were performed to improve the process of prediction, namely events in the surrounding areas, traffic information on the vicinity of the park and weather conditions on the city of the parking lot. This type of system aims to help users on a daily basis to find an available parking space, such as recommending the best parking lot taking into account some heuristics used by the decision algorithm, and creating a route to it, this way removing some anxiety felt by drivers looking for available spaces. |
Peerreviewed: | yes |
Access type: | Open Access |
Appears in Collections: | ISTAR-CRI - Comunicações a conferências internacionais IT-CRI - Comunicações a conferências internacionais |
Files in This Item:
File | Size | Format | |
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conferenceObject_64236.pdf | 416,96 kB | Adobe PDF | View/Open |
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