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ParkIT: Smart Parking Application using Deep Learning
One of the main implications of population growth and high lifestyle standards, particularly in urban areas, is the increase in city traffic. Trying to find a parking spot during rush hours is time-consuming and causes unnecessary fuel wastage. Uncoordinated searching for parking spaces often result...
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Published in: | Journal of physics. Conference series 2023-09, Vol.2601 (1), p.12032 |
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Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | One of the main implications of population growth and high lifestyle standards, particularly in urban areas, is the increase in city traffic. Trying to find a parking spot during rush hours is time-consuming and causes unnecessary fuel wastage. Uncoordinated searching for parking spaces often results in traffic in such spaces and increased vehicle exhaust volume has a detrimental effect on the environment. Along with that, the same parking charges regardless of the parking time are quite unreasonable. Dynamic parking fees and reservation-based smart parking systems have therefore become essential. The technique presented in the research communicates parking information to a driver in advance, considerably decreasing the time spent in searching parking spaces. |
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ISSN: | 1742-6588 1742-6596 |
DOI: | 10.1088/1742-6596/2601/1/012032 |