Optimization of municipal solid waste transportation by integrating GIS analysis, equation-based, and agent-based model

Authored by Nguyen-Trong Khanh, Nguyen-Thi-Ngoc Anh, Nguyen-Ngoc Doanh, Dinh-Thi-Hai Van

Date Published: 2017

DOI: 10.1016/j.wasman.2016.10.048

Sponsors: AI Programme Vietnam National University of Agriculture (VNUA)

Platforms: GAMA

Model Documentation: Other Narrative Flow charts Mathematical description

Model Code URLs: Model code not found

Abstract

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\%. (C) 2016 Elsevier Ltd. All rights reserved.

Tags

Agent-based model algorithms Equation-based model dynamic modelling Municipal solid waste management Route optimization Environmental modelling Vehicle routing model Vehicle-routing problem Collection