Randomized trial demonstrates an optimal route recommendation system for waste collection vehicles, suggesting improved efficiency in waste management.
Key Points
The central aim is to develop an optimal route recommendation system for waste carrier vehicles to enhance waste collection efficiency.
Proposed a multi-objective optimization approach to minimize route distance and maximize waste collection.
Employed evolutionary methods to solve the proposed objective function.
Analyzed real-world solid waste data from Jeju Island, South Korea.
Achieved reductions in route distance and improvements in waste collection efficiency.
Demonstrated effectiveness of the recommendation system in managing municipal solid waste through different use cases.
Results indicate a potential advancement towards smart city implementation in Jeju Island.