Optimization of Urban Waste Collection Routes Using the Held-Karp Algorithm in a Web and Mobile-Based System

Optimization of Urban Waste Collection Routes Using the Held-Karp Algorithm in a Web and Mobile-Based System

Blog Article

In 2023, the Environmental Agency of Palu City recorded a total waste production of 97,492 tons, of which 10.4% was plastic waste.The Palu City Government operates a fleet of garbage trucks on a predetermined collection schedule.However, garbage bins frequently overflow before their scheduled pickup, resulting in extended waste accumulation and inefficiency.

This study proposes a web and mobile-based system to enhance waste management by integrating bin condition reporting and shortest route calculation for collecting full bins.The Held-Karp algorithm is utilized to address the Travelling Salesman Problem (TSP) for determining optimal Dress collection routes.The system was developed using Golang, Flutter, ReactJS, and a MySQL database.API functionality was validated using Postman, and overall system functionality was tested using the black-box method.

A case study involving 8 test points (1 starting point, 10 waste collection points, and 1 endpoint) demonstrated that the proposed system reduces travel time by up to 21.74%, costs by 22.29%, fuel consumption by 21.16%, and distance traveled by CURRANT CHOCO 21.

16% compared to conventional methods.These results highlight the potential of the system to significantly optimize waste collection operations and support sustainable urban waste management practices.