Real-Time Smart Parking Systems Integration in Distributed ITS for Smart Cities
Intelligent Transportation Systems (ITS) have evolved as a key research topic in recent years, revolutionizing the overall traffic and travel experience by providing a set of advanced services and applications. These data-driven services contribute to mitigate major problems arising from the ever gr...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2018/1485652 |
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| _version_ | 1832562108227649536 |
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| author | Muhammad Alam Davide Moroni Gabriele Pieri Marco Tampucci Miguel Gomes José Fonseca Joaquim Ferreira |
| author_facet | Muhammad Alam Davide Moroni Gabriele Pieri Marco Tampucci Miguel Gomes José Fonseca Joaquim Ferreira |
| author_sort | Muhammad Alam |
| collection | DOAJ |
| description | Intelligent Transportation Systems (ITS) have evolved as a key research topic in recent years, revolutionizing the overall traffic and travel experience by providing a set of advanced services and applications. These data-driven services contribute to mitigate major problems arising from the ever growing need of transport in our daily lives. Despite the progress, there is still need for an enhanced and distributed solution that can exploit the data from the available systems and provide an appropriate and real-time reaction on transportation systems. Therefore, in this paper, we present a new architecture where the intelligence is distributed and the decisions are decentralized. The proposed architecture is scalable since the incremental addition of new peripheral subsystems is supported by the introduction of gateways which requires no reengineering of the communication infrastructure. The proposed architecture is deployed to tackle the problem of traffic management inefficiency in urban areas, where traffic load is substantially increased, by vehicles moving around unnecessarily, to find a free parking space. This can be significantly reduced through the availability and diffusion of local information regarding vacant parking slots to drivers in a given area. Two types of parking systems, magnetic and vision sensor based, have been introduced, deployed, and tested in different scenarios. The effectiveness of the proposed architecture, together with the proposed algorithms, is assessed in field trials. |
| format | Article |
| id | doaj-art-48281b669212480286e28bb2c27b34b1 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-48281b669212480286e28bb2c27b34b12025-02-03T01:23:21ZengWileyJournal of Advanced Transportation0197-67292042-31952018-01-01201810.1155/2018/14856521485652Real-Time Smart Parking Systems Integration in Distributed ITS for Smart CitiesMuhammad Alam0Davide Moroni1Gabriele Pieri2Marco Tampucci3Miguel Gomes4José Fonseca5Joaquim Ferreira6Instituto de Telecomunicações, Universidade de Aveiro, PortugalInstitute of Information Science and Technologies, National Research Council of Italy, Pisa, ItalyInstitute of Information Science and Technologies, National Research Council of Italy, Pisa, ItalyInstitute of Information Science and Technologies, National Research Council of Italy, Pisa, ItalyMicro I/O, Sistemas Electrónicos, Lda, Aveiro, PortugalInstituto de Telecomunicações, Universidade de Aveiro, PortugalInstituto de Telecomunicações, Universidade de Aveiro, PortugalIntelligent Transportation Systems (ITS) have evolved as a key research topic in recent years, revolutionizing the overall traffic and travel experience by providing a set of advanced services and applications. These data-driven services contribute to mitigate major problems arising from the ever growing need of transport in our daily lives. Despite the progress, there is still need for an enhanced and distributed solution that can exploit the data from the available systems and provide an appropriate and real-time reaction on transportation systems. Therefore, in this paper, we present a new architecture where the intelligence is distributed and the decisions are decentralized. The proposed architecture is scalable since the incremental addition of new peripheral subsystems is supported by the introduction of gateways which requires no reengineering of the communication infrastructure. The proposed architecture is deployed to tackle the problem of traffic management inefficiency in urban areas, where traffic load is substantially increased, by vehicles moving around unnecessarily, to find a free parking space. This can be significantly reduced through the availability and diffusion of local information regarding vacant parking slots to drivers in a given area. Two types of parking systems, magnetic and vision sensor based, have been introduced, deployed, and tested in different scenarios. The effectiveness of the proposed architecture, together with the proposed algorithms, is assessed in field trials.http://dx.doi.org/10.1155/2018/1485652 |
| spellingShingle | Muhammad Alam Davide Moroni Gabriele Pieri Marco Tampucci Miguel Gomes José Fonseca Joaquim Ferreira Real-Time Smart Parking Systems Integration in Distributed ITS for Smart Cities Journal of Advanced Transportation |
| title | Real-Time Smart Parking Systems Integration in Distributed ITS for Smart Cities |
| title_full | Real-Time Smart Parking Systems Integration in Distributed ITS for Smart Cities |
| title_fullStr | Real-Time Smart Parking Systems Integration in Distributed ITS for Smart Cities |
| title_full_unstemmed | Real-Time Smart Parking Systems Integration in Distributed ITS for Smart Cities |
| title_short | Real-Time Smart Parking Systems Integration in Distributed ITS for Smart Cities |
| title_sort | real time smart parking systems integration in distributed its for smart cities |
| url | http://dx.doi.org/10.1155/2018/1485652 |
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