Abstract
Growing population in urban areas has led to the necessity of solving the problem of targeted municipal garbage collection. In the smart city Optimization problem for complex smart city dynamic systems is one of the most important elements for garbage collection analysis. The paper contributes with a mathematical model for solving optimization problems and transport scheduling for the targeted garbage collection is suggested, which is a part of a wide range of “Smart City” concepts. The model is based on the apparatus of network optimization algorithms. The possibility of additional loading of the garbage truck during waste collection is the basis for optimizing the parameters of the entire process. As optimization criteria, the cost of the services rendered, the weight of the removed waste, and the reduction in idle run can be considered.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Global Innovators: International Case Studies on Smart Cities. Research paper number 135, Oct 2013. https://www.gov.uk/government/publications/smart-cities-international-case-studies-global-innovators
Chourabi, H., et al.: Understanding Smart Cities: An Integrative Framework. In: Proceedings of the 2012 45th Hawaii International Conference on System Sciences, IEEE Computer Society, pp. 2289–2296 (2012)
IEEE Smart City definition. http://smartcities.ieee.org/about
Toppeta, D.: The smart city vision: how innovation and ICT can build smart, “livable”, sustainable cities. The Innovation Knowledge Foundation. https://inta-aivn.org/ (2010)
Hemidat, S.,·Oelgemöller, D., Nassour, A., Nelles, M.: Evaluation of key indicators of waste collection using GIS techniques as a planning and control tool for route optimization. Waste Biomass Valor 8, 1533–1554 (2017). https://doi.org/10.1007/s12649-017-9938-5
Haddoun, N., Khomsi, D.: Design of a computer tool for the optimization of solid waste collection circuits. In: E3S Web of Conferences, pp. EDE7–2019 (2019). https://doi.org/10.1051/e3sconf/202015.002016
Ahmad, S., Jamil, F., Iqbal, N., Kim, D.: Optimal route recommendation for waste carrier vehicles for efficient waste collection: a step forward towards sustainable cities. IEEE Access 8, Digital Object Identifier https://doi.org/10.1109/ACCESS.2020.2988173
Maiti, S., Vaishnav, M., Ingale, L., Suryawanshi, P., Kumar, S.: Optimization of garbage collector tracking and monitoring system analysis. CSIT 4(2–4), 187–192 (2016). https://doi.org/10.1007/s40012-016-0103-2
Nurprihatina, F., Lestarib, A.: Waste collection vehicle routing problem model with multiple trips, time windows, split delivery, heterogeneous fleet and intermediate facility. Eng. J. 24(5). https://engj.org/https://doi.org/10.4186/ej.2020.24.5.55 (2020)
Yang, X.-S.: A new metaheuristic bat-inspired algorithm. In: González, J.R., Pelta, D.A., Cruz, C., Terrazas, G., Krasnogor, N. (eds.) Nature Inspired Cooperative Strategies for Optimization (NICSO 2010). Studies in Computational Intelligence, vol 284. Springer, Heidelberg. https://doi.org/10.1007/978-3-642-12538-6_6
Mishra, A., Ray, A.K.: IoT cloud-based cyber-physical system for efficient solid waste management in smart cities. IET Cyber-Phys. Syst. Theor. Appl. 5(4), 330–341 (2020)
Bányai, T., Tamás, P., Illés, B., Stankevicˇiute, Z., Bányai, A.: Optimization of municipal waste collection routing: impact of industry 4.0 technologies on environmental awareness and sustainability. Int. J. Environ. Res. Public Health 16, 634. https://doi.org/10.3390/ijerph16040634
Borozdukhin, A., Dolinina, O., Pechenkin, V.: Approach to the garbage collection in the “Smart Clean City” project. CIST 2016, pp. 918–922. (IEEE CIST 2016). https://doi.org/10.1109/CIST.2016.7805019
Brovko, A., Dolinina, O., Pechenkin, V.: Method of the management of the garbage collection in the “smart clean city”. Commun. Comput. Inf. Sci. 718, 432–443. CN 2017 (2017). https://doi.org/10.1007/978-3-319-59767-6_34
Dolinina, O., Pechenkin, V., Gubin, N., Aizups, J., Kuzmin, A.: Development of semi-adaptive waste collection vehicle routing algorithm for agglomeration and urban settlements. In: Proceedings of the 7th IEEE Workshop on Advances in Information, Electronic and Electrical Engineering AIEEE'2019, pp. 1–6 (2019). https://doi.org/10.1109/AIEEE48629.2019.8976918
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Dolinina, O., Pechenkin, V., Mansurova, M., Tolek, D., Ixsanov, S. (2021). Algorithmic Approach to Building a Route for the Removal of Household Waste with Associated Additional Loads in the “Smart Clean City” Project. In: Nguyen, N.T., Iliadis, L., Maglogiannis, I., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2021. Lecture Notes in Computer Science(), vol 12876. Springer, Cham. https://doi.org/10.1007/978-3-030-88081-1_56
Download citation
DOI: https://doi.org/10.1007/978-3-030-88081-1_56
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-88080-4
Online ISBN: 978-3-030-88081-1
eBook Packages: Computer ScienceComputer Science (R0)