DETECTION ON-STREET PARKING AVAILABILITY USING MOBILE SENSING BASED ON INTERNET OF THINGS(IOT) STUDY CASE :PARALLEL PARKING
Until now, the parking area availability status information of each parking area on-street is still very difficult to obtain, especially for drivers. Beside that, parking administrators and the government also have difficulties in obtaining accurate realtime data, if they have to rely on manual re...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/55524 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Until now, the parking area availability status information of each parking area
on-street is still very difficult to obtain, especially for drivers. Beside that, parking
administrators and the government also have difficulties in obtaining accurate realtime data, if they have to rely on manual recording carried out by parking
attendants directly in the fields there are possibility of lack accuracy or fraud by
the staff. Therefore, it requires automatic data collection that can be presented in
real-time using Internet of Things (IoT) technology, to obtain information of each
parking area availability status and the possibility illegal parking outside the
designated parking area. Parking detection in previous studies has focused more
to off-street parking area such as in parking building. In this study, the detection of
the status of on-street parking area is using mobile sensing, the components costs
are lower than if you have to use fixed sensor. Because the tests carried out along
road sections can also detect parking violations that may occur outside parking
area. Process classification method is using Decision tree C4.5 algorithm in
multiclass, because throughout the research class can be divided into 3 classes,
there are vehicle, violation and pass.
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