FORMATION OF ROUTES FOR THE TARGET REMOVAL OF THE HOUSEHOLD WASTE IN THE "SMART CLEAN CITY" PROJECT BASED ON HYBRID APPROACH USING EXPERT SYSTEMS

Abstract

An important component of the study of the target waste collection issues is the optimization problem for the complex dynamic systems. This article analyzes the problem of optimizing the process of controlling the collection of solid household waste as a part of the broad-spectrum of "Smart City" concepts. Mathematical model for solution of the optimization problems and transport planning for the directed waste collection is proposed. The model based on the network optimization algorithms is selected. Additional loading of the refuse collection vehicle during waste collection is the basis for optimizing of the parameters of the whole process. As an optimization criteria, the cost of the services rendered, the weight of the removed waste, and the reduction in idle run can be considered. The paper describes the continuation of the investigations published in the ICCCI-21 Conference Proceedings by the development of the new approach for building the route by using of the expert system with fuzzy rules based on the traffic expert knowledge that can be implemented as a part of the decision making in the route construction system is also considered.


 


 

 


 

 


 

 


 




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Author Biographies

Olga Dolinina, Yuri Gagarin State Technical University of Saratov, Saratov, Russian Federation
Vitaly Pechenkin, Yuri Gagarin State Technical University of Saratov, Saratov, Russian Federation
Published
2023-04-03
How to Cite
DOLININA, Olga; PECHENKIN, Vitaly. FORMATION OF ROUTES FOR THE TARGET REMOVAL OF THE HOUSEHOLD WASTE IN THE "SMART CLEAN CITY" PROJECT BASED ON HYBRID APPROACH USING EXPERT SYSTEMS. Journal of problems in computer science and information technologies, [S.l.], v. 1, n. 1, apr. 2023. ISSN 2958-0846. Available at: <https://dslib.kaznu.kz/index.php/kaznu/article/view/JPCSIT.2023.v1.i1.01>. Date accessed: 04 dec. 2024. doi: https://doi.org/10.26577/JPCSIT.2023.v1.i1.01.