High efficiency public transportation system: Role of big data in making recommendations

With increasing urbanization across the world, demand for smart transportation methods to support everyone, as well freight, becomes more vital. To tackle challenges of growing congestion on roads, big data analytics (BDA) strategies can be used offer insights real decision-making, and policy designing. This study has two primary goals. First, this evaluates academic literature regarding BDA commuter routes programs; next based upon studies, it suggests a framework that is effective, but comprehensive in making recommendation drive down increase efficiency shared system. The believes suggested solid, versatile, adaptive enough implemented systems large cities. Using framework, system will managed centralized system, allowing much efficient Further studies should conducted over long period, smaller cities well, make improvement framework.