Sistem Pemantau Lalu Lintas Otomatis berbasis Microservices

• Main Author: alaydrus, hana
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/33797
• Institution: Institut Teknologi Bandung

The Indonesian government has built a traffic monitoring system such as National Traffic Management Center (NTMC), Bandung Command Center (BCC), and Jasamarga Live for traffic management, but has not been effective. In the BCC traffic monitoring system, conclusions regarding the events that occurred on CCTV videos, are still obtained from manual interpretations by humans. The number of CCTVs that reached 728 cameras, he number of employees who were only 28, and the obligation to monitor 24 hours caused supervision to not be carried out thoroughly and enable the presence of CCTV points that were not monitored properly. To improve the effectiveness of BCC traffic monitoring system, an automated traffic monitoring system can be created. An automated traffic monitoring system can utilize image processing to detect vehicles on CCTV videos. The automatic traffic monitoring system has been developed by Hendrawan and Tobing (2014) and implemented in a monolithic form. The monolithic approach to the BCC automatic monitoring system is not really suitable. Automatic monitoring systems for BCC need large resources to process 728 cameras, monolithic approach has low scalability, this will cause waste of resources. In addition, the automatic monitoring system for BCC also needs to be used for 24 hours, monolithic approach has low resistance, this will cause the system to be vulnerable to failure so the system cannot be used for 24 hours. The solution to the problem of scalability and resilience in monolithic architecture is microservice architecture. This final project has proven that microservices-based automated traffic monitoring systems has higher scalability and resiliency than monolithic.