TransJakarta is a BRT-based mass transportation system operating in Jakarta, the capital of Indonesia. Currently, the system delivers rather low level of service; as a result, the number of passengers
is rather low in comparison to that of the other BRT-based systems. In this work, we propose a design of the passenger counting system for BRTbased
system, which is very important for the BRT fleet management to increase the system level of service. The counting system is established by deploying computer vision techniques. A few algorithms are evaluated and the Adaptive Median Filtering with the sampling rate of 13 produces the highest level of precision and recall.
Lumentut J. S, Gunawan D. F. E, Wiedjaja and Abbas I. B. S. (2015). A System for Real-Time Passenger Monitoring System for Bus Rapid Transit System (SCOPUS). Lecture Notes in Artificial Intelligence, 9012 (2), 398-407.