IMPLEMENTATION OF FUZZY LOGIC ON VEHICLE MONITORING AND DRIVER STYLE EVALUATION BASED ON ANALYSIS OF OBD II DATA USING CLOUD APPLICATION

• Main Author: Wahyu Wicaksono - NIM : 23214321 , Daniel
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/26368
• Institution: Institut Teknologi Bandung

Driving behavior on the highway is one of the most important concerns for security and safety in traffic. The way that can be done to observe driving behavior also varied, either through observation on physical and biometric information of the driver or through environmental conditions that occur while driving the vehicle. One fairly easy way to observe the vehicle environment while driving is to detect the amount of motion that occurs with the motion sensors on the smartphone device. The following research will be undertaken to observe the vehicle condition from its speed and motion parameters measured by the accelerometer sensor, GPS sensor, and using the OBD II device to obtain the parameters of the vehicle used in order to be evaluated driving behavior by the system located on the cloud service. By applying this system, indirectly used vehicles can be referred to as part of the Internet of Things that can be further developed to add more value and benefits of a device through data and information shared via internet connection. <br /> <br /> <br /> <br /> The method used to assess the characteristic of the driver is to using fuzzy logic. Fuzzy logic is used because it can provide an output in the percentage form. The system will process the input data which is speed and accelerometer value using an application on Heroku cloud server that will process and store the vehicle data along with the fuzzy process results into the database. The information stored in the database can be accessed by the user using Line messaging application service. By utilizing bot application through Line Massaging API, user interface will not become too complicated, the user only needs to ask the desired information via message to the bot app, which will then respond with the desired information. <br /> <br /> <br /> <br /> Based on the results of testing on applications made on the Heroku cloud service, the system is able to process data sent to the application server. Vehicle data transmitted within an interval of one second can be processed into a fuzzy assessment by the system, then a total assessment of a single vehicle trip session will be calculated through the average of the number of assessments per second on a single travel session. <br /> <br /> <br /> <br /> iv <br /> <br /> <br /> <br /> <br /> The vehicle data along with fuzzy assessment results for driving behavior can be saved to the database then can be accessed through the bot app on the Line platform. There are some special conditions that must be fulfilled to use this system, such as the vehicles have support for the OBD II system so that vehicle data can be sent to the web server, then the smartphone has installed an application that can receive OBD data from vehicles and required to have an internet connection for data upload to the system.