LINK’N PARK - ULTRASONIC-SENSOR BASED CAR QUEUE COUNTER SUBSYSTEM FOR THE ENTRANCE GATE OF INDOOR PARKING INFORMATION SYSTEM

• Main Author: Christian Yohosua, Ivan
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/46500
• Institution: Institut Teknologi Bandung

Finding an empty parking space in a parking building is not an easy task because the driver does not know any information about the availability of empty parking. The conventional way for a driver to get information on empty parking lots is by employing humans to guide the driver. This method is less effective, especially if the size of the parking building is very large. This document describes a part of a larger system: LINK'N PARK, an indoor parking information system that had been developed as an undergraduate final project. The whole system consists of three major parts: (i) a detection subsystem in each parking lot, (ii) a data processing subsystem and (iii) a car queue counter subsystem at the entrance gate. LINK’N PARK is intended to provide drivers with information about the number, location and recommendations of empty parking lots. The data of the system is obtained from ultrasonic sensors mounted on the entrance gate and in every parking lot. Status data from each parking lot will be forwarded to the server via an ethernet cable for processing and forwarded to the display device. One of the key subsystems in LINK'N PARK is the car queue counter subsystem at the entrance that can distinguish cars and other objects with high accuracy and inform the number of parking spaces that are still available to the driver on the display device. This subsystem consists of ultrasonic sensors, Arduino microcontroller, and LED matrix p10. It is connected to the LINK'N PARK server via an ethernet cable. The subsystem is independent so that it can automatically reset the previous car queue information if there is no vehicle at the entrance gate. The detection processes are carried out using three different ultrasonic-sensor configurations: a single sensor module, two sensor modules that are opposite to each other, and two sensor modules mounted abreast on the same side. The test results show that the configuration using two sensors has an accuracy level of above 90 percent in distinguishing cars with other objects and above 80 percent in detecting car queues at the entrance gate.