Optimization of municipal solid waste transportation by integrating GIS analysis, equation-based, and agent-based model.
The amount of municipal solid waste (MSW) has been increasing steadily over the last decade by reason of population rising and waste generation rate. In most of the urban areas, disposal sites are usually located outside of the urban areas due to the scarcity of land. There is no fixed route map for transportation. The current waste collection and transportation are already overloaded arising from the lack of facilities and insufficient resources. In this paper, a model for optimizing municipal solid waste collection will be proposed. Firstly, the optimized plan is developed in a static context, and then it is integrated into a dynamic context using multi-agent based modelling and simulation. A case study related to Hagiang City, Vietnam, is presented to show the efficiency of the proposed model. From the optimized results, it has been found that the cost of the MSW collection is reduced by 11.3%.
Posts and Telecommunications Institute of Technology (PTIT) Hanoi, Vietnam. Electronic address: khanhnt82@gmail.com.
Khanh
K
Nguyen-Trong
Hanoi University of Sciences and Technology (HUST), Vietnam.
Anh
A
Nguyen-Thi-Ngoc
Thuyloi University Hanoi, Vietnam; UMMISCO UMI 209 Lab, IRD/UPMC, France.
Doanh
D
Nguyen-Ngoc
Vietnam National University of Agriculture, Vietnam.
Van
V
Dinh-Thi-Hai
D000465:Algorithms; D002947:Cities; D003198:Computer Simulation; D040362:Geographic Information Systems; D015233:Models, Statistical; D010209:Paper; D012037:Refuse Disposal / Q000191:economics / Q000379:methods*; D062611:Solid Waste; D014186:Transportation; D014744:Vietnam; D018505:Waste Management / Q000191:economics / Q000379:methods*
D062611:Solid Waste
Agent-based model; Dynamic modelling; Environmental modelling; Equation-based model; Municipal solid waste management; Route optimization; Vehicle routing model