| dc.description.abstract | Urbanization and Population Explosion are rapidly increasing challenges, for waste
collection methods that struggle with inefficiency and environmental impact due to their
reliance on fixed schedules and limited data utilization. This study tries to overcome
these limitations and offers a comprehensive review of emerging technologies such
as Internet of Things (IoT) based smart bins, Artificial Intelligence (AI) supported
route optimization, Geographic Information System (GIS) applications in promoting
waste collection effectiveness through green approach. Through these next generation
technologies, cities can shift from outdated systems toward smarter, more efficient
solutions that react dynamically based on real-time data. A systematic review of
recent literature, from the last five years, on scholarly sources and academic databases
was the research methodology. The concept was derived from case studies, which
emphasized how modern technologies align and collaborate effectively mainly in
lowering operational costs, optimizing resource usage, and improving sustainability. The
key takeaway from this review is that the combined use of these modern technologies,
the waste collection problem, is appropriately addressed through real-time monitoring,
routing optimization and user engagement. A review points out the benefit of
introducing such innovations into adaptive and eco-friendly waste collection systems in
line with the objectives of smart cities. Although a few steps have been made forward in
this regard, much more needs to be done on practical implementation, scalability, and
representative precincts, therefore, requiring ample research opportunities in the future.
This study offers a strategic roadmap for municipalities to adopt modern solutions,
driving smarter and greener waste collection practices. | en_US |
