Centralized smart parking and insurance applications for intelligent vehicles in a smart city utilizing the cloud computing paradigm
Vehicles and infrastructure in an Intelligent Transportation System (ITS) may communicate to improve travel convenience and reduce the vehicular troubles. One of the significant activities of car owners is searching for free space parking. The time spent by drivers for available slots diminishes the...
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oai:animorepository.dlsu.edu.ph:faculty_research-37392021-10-29T02:37:13Z Centralized smart parking and insurance applications for intelligent vehicles in a smart city utilizing the cloud computing paradigm Magsino, Elmer R. Vehicles and infrastructure in an Intelligent Transportation System (ITS) may communicate to improve travel convenience and reduce the vehicular troubles. One of the significant activities of car owners is searching for free space parking. The time spent by drivers for available slots diminishes their productivity and contributes to the degradation of the environment. In this work, preliminary results surveying cloud-based applications centering on centralized parking and insurance reporting by utilizing empirical mobility traces are presented. Mobility traces represent movements of future intelligent vehicles as they traverse an urban city. From the initial simulation findings, centralized smart parking is very feasible and will rely on whether the ITS will provide enough infrastructure to allow centralized requesting of parking slots. © 2020, World Academy of Research in Science and Engineering. All rights reserved. 2020-07-01T07:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/2740 Faculty Research Work Animo Repository Intelligent transportation systems Automobile parking Cloud computing Electrical and Computer Engineering |
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Intelligent transportation systems Automobile parking Cloud computing Electrical and Computer Engineering |
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Intelligent transportation systems Automobile parking Cloud computing Electrical and Computer Engineering Magsino, Elmer R. Centralized smart parking and insurance applications for intelligent vehicles in a smart city utilizing the cloud computing paradigm |
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Vehicles and infrastructure in an Intelligent Transportation System (ITS) may communicate to improve travel convenience and reduce the vehicular troubles. One of the significant activities of car owners is searching for free space parking. The time spent by drivers for available slots diminishes their productivity and contributes to the degradation of the environment. In this work, preliminary results surveying cloud-based applications centering on centralized parking and insurance reporting by utilizing empirical mobility traces are presented. Mobility traces represent movements of future intelligent vehicles as they traverse an urban city. From the initial simulation findings, centralized smart parking is very feasible and will rely on whether the ITS will provide enough infrastructure to allow centralized requesting of parking slots. © 2020, World Academy of Research in Science and Engineering. All rights reserved. |
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Magsino, Elmer R. |
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Magsino, Elmer R. |
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Magsino, Elmer R. |
title |
Centralized smart parking and insurance applications for intelligent vehicles in a smart city utilizing the cloud computing paradigm |
title_short |
Centralized smart parking and insurance applications for intelligent vehicles in a smart city utilizing the cloud computing paradigm |
title_full |
Centralized smart parking and insurance applications for intelligent vehicles in a smart city utilizing the cloud computing paradigm |
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Centralized smart parking and insurance applications for intelligent vehicles in a smart city utilizing the cloud computing paradigm |
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Centralized smart parking and insurance applications for intelligent vehicles in a smart city utilizing the cloud computing paradigm |
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centralized smart parking and insurance applications for intelligent vehicles in a smart city utilizing the cloud computing paradigm |
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Animo Repository |
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2020 |
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https://animorepository.dlsu.edu.ph/faculty_research/2740 |
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