Waste Collection / Street Sweeping / Snowplow Route Optimization

A key objective of this project is to develop an advanced routing strategy that can generate optimal routes for curbside waste collection, residential sweeping, and snowplowing services to improve operational efficiency and save overall costs. To achieve this goal, optimal routing models and algorithms will be developed by integrating graphic theory, vehicle routing problem, and optimization, as well as GIS (Geographic Information System) techniques. To represent real-world situations, various and complicated operational constraints for each service will be incorporated into the developed models. The proposed model and analytical data will offer practical, scalable, and sustainable solutions to enhance the service performance and quality while generating the least operational expenditures and environmental footprint.

Faculty Supervisor:

Jaho Seo

Student:

Partner:

City of Oshawa

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Public administration

University:

University of Ontario Institute of Technology

Program:

Accelerate

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