Emission Control and Route Optimization in Municipal Solid Waste Collection and Transportation using Agent-Based Model
Khanh Nguyen-Trong1, Van Dinh-Thi-Hai2, Anh Nguyen-Thi-Ngoc3, Doanh Nguyen-Ngoc4
1Dr. Khanh Nguyen Trong, Lecturer, Telecommunications Institute of Technology, Hanoi, Vietnam.
2Dr. Dinh Thi Hai Van, Lecturer, Faculty of Environment, Viet Nam National University of Agriculture, Hanoi, Vietnam.
3Nguyen Thi Ngoc Anh, Lecturer, University of Technology Vietnam.
4Dr. Doanh Nguyen Ngoc, Lecturer, Thuyloi University, Hanoi, Vietnam.
Manuscript received on 02 November 2017 | Revised Manuscript received on 21 November 2017 | Manuscript Published on 30 December 2017 | PP: 23-28 | Volume-7 Issue-2, November 2017 | Retrieval Number: B2476117217/2017©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The amount of municipal solid waste (MSW) has been increasing steadily over the last decade by reason of population growth and waste generation rate. The management of municipal solid waste collection and transportation is a challenge. Efforts should be made to provide these systems with the best methods to improve their overall efficiency, thus to reduce fuel consumption, pollutant emissions and costs. In this paper, a model for optimizing municipal solid waste collection and also pollutant emissions will be proposed. Firstly, the optimization 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 MSW collection and the pollutant emissions (CO2, CO, NOx, PM, HC) are respectively reduced by 15.8 % and 16 %.
Keyword: Municipal solid waste management, Route optimization, Environmental modelling, Dynamic modelling, Agent-based model Equation-based model, Vehicle routing model.
Scope of the Article: Transportation Engineering