Emerging trends for multi-agent systems applications in smart public bus transportation

Multi-agent systems (MAS) have evolved as a diverse and powerful paradigm for addressing difficult challenges in the field of traffic and transportation over the previous decade. This work involves a review of applications of MAS properties in the public transportation domain such as adaptive scheduling, autonomous vehicle coordination, route planning, and adaptive transportation systems. In this study using a systematic survey technique and a funnel screening process, 43 peer-reviewed papers to the keywords were identified. The filtering process comprises data reduction techniques such as abstract and conclusion evaluation. This work broadly divides the survey of MAS application on public bus transportation into three research questions which were addressed according to the article publication shortlisted. It conclusion MAS allows for dynamic routing, scheduling, and resource allocation based on real-time data, resulting in more efficient utilisation of smart transportation of public buses. This optimisation shortens wait times and increases service reliability.