DETECTION ON-STREET PARKING AVAILABILITY USING MOBILE SENSING BASED ON INTERNET OF THINGS(IOT) STUDY CASE :PARALLEL PARKING

• Main Author: Dianawati, Erni
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/55524
• Institution: Institut Teknologi Bandung

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.