Using Internet of Things (IOT) waste bin sensors to analyze the effectiveness of dynamic routing for waste collection vehicles

This research project aims to develop data analytic technologies to achieve the smart waste and recycling management services. In the smart waste management, the information about container fill levels is captured by the sensors through the Internet of Things (IoT) in real time. A more efficient dynamic routing strategy will be developed through this research with the collected sensor data. The dynamic routing needs to be adaptive to ensure the bins will not overflow while maintain its operational efficiency. Meanwhile, the strategy will also optimize the objectives, i.e. reduction of the operational cost as well as CO2 emission.

Faculty Supervisor:

Zheng Liu

Student:

Partner:

RecycleSmart

Discipline:

Engineering

Sector:

Administrative and support, waste management and remediation services

University:

The University of British Columbia - Okanagan

Program: