INTEGRATED CAR TELEMETRY SYSTEM BASED on INTERNET of THINGS: APPLICATION and CHALLENGES

The number of cars is increasing every day, and there is a need to monitor each of them digitally as well as remotely. It does not only collect the data, send them remotely, save them in the database, and display the results through the website or mobile apps, but also analyse the performance of the car, plan the maintenance schedule, and evaluate the drivers’ behaviour. A car monitoring system has been developed in this study. The development was divided into three main parts, including an on-board hardware module, an android application (app), and web servers as the user interface. The hardware was used for collecting the data from the car and simultaneously sent it to the server. Then, the app was developed to display the possible analysis results for the user. Finally, the webserver with database system became a data center for data collection. The stored data consist of GPS location and engine operating conditions, such as engine load, coolant temperature, intake manifold pressure, revolution per minute, speed, forward timing, intake air, and throttle position. However, the main focus of this work is on the analysis of data transmission speed. The results show that more than 90% of the total 611 testing records were transmitted with no delay or delay less than 10 s. Furthermore, for the car condition test, eight engine operating conditions were summarized from two different cars, which each of them has 20 h of driving test. It was found that each car had its own characteristics.