Resource Optimization
CITY has designed models to optimize waste and resource management by leveraging technology to dynamically relocate waste bins based on usage patterns and demand, reducing the overall walking distance, maximizing population coverage, and promoting sustainability.
By minimizing the walking distance between houses and waste bins, the system aims to reduce the physical strain on individuals by promoting healthier and more livable communities.
In our project with LWMC the updated bin locations are suggested in such a way that we have maximized the population coverage by placing bins near more populous areas. We can improve waste collection efficiency by placing bins in locations where they are easily accessible and convenient for users, waste collection vehicles can cover more ground in less time thus improving efficiency.
Optimizing waste bin locations can also lead to cost savings for waste management companies by reducing the amount of time and resources needed for waste collection and disposal.
Collaborator
The Centre for Urban Informatics, Technology, and Policy recently renewed its Memorandum of Understanding (MoU) with the Lahore Waste Management Company. The formal signing ceremony took place with LWMC Chief Executive Officer (CEO) Babar Sahib Din and CITY Director Dr. Momin Uppal putting pen to paper.
Under this agreement, both organizations have committed to collaborating on fleet route optimization and digitalization initiatives utilizing data-driven optimization and Artificial Intelligence (AI). Notably, a successful pilot project focused on Gulberg has already been completed, demonstrating the efficacy of our route optimization methods in reducing waste collection costs. This achievement serves as a promising starting point for further endeavors. Through this partnership, the organizations seek to optimize routes, conserve resources, and ultimately establish an integrated system that promotes cleanliness and sustainability throughout Lahore.