Abstract
Collection and transportation of municipal solid waste (MSW) is a critical factor that governs the overall cost of the MSW management system. With the help of various technological interventions, optimal usage of available resources could bring about a considerable amount of savings. In this study, an attempt has been made to optimize the MSW collection vehicle route path to reduce the fuel, distance, and overall workload in local municipalities by adopting dynamic graph modeling. The optimization problem is addressed from three different perspectives, namely, (a) analyzing the dynamic nature of the user requests, (b) the influence of the number of waste collection vehicles available in a given area, and (c) determining the optimum number of vehicles for which the overall cost is minimized. Relevant simulation studies are carried out to validate the proposed approach.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Kaza S, Yao L, Bhada-Tata P, Van Woerden F (2018) What a waste 2.0: a global snapshot of solid waste management to 2050. World Bank Publications
Beliën J, De Boeck L, Van Ackere J (2014) Municipal solid waste collection and management problems: a literature review. Transp Sci 48(1):78–102
Mission SB (2016) Municipal solid waste management manual. Central Public Health and Environmental Engineering Organisation (CPHEEO), Ministry of Urban Development, Government of India
Dantzig GB, Ramser JH (1959) The truck dispatching problem. Manage Sci 6(1):80–91
Marks DH, Liebman JC (1970) Mathematical analysis of solid waste collection (No. 2104). US Bureau of Solid Waste Management
Levin A (1971) Scheduling and fleet routing models for transportation systems. Transp Sci 5(3):232–255
Marks DH, Stricker R (1971) Routing for public service vehicles. J Urban Plan Dev Div 97(2):165–178
Solomon M (1987) Algorithms for vehicle scheduling routing problem with time windows. Oper Res 35(2):254–265
Tung DV, Pinnoi A (2000) Vehicle routing–scheduling for waste collection in Hanoi. Eur J Oper Res 125(3):449–468
Babaee Tirkolaee E, Alinaghian M, Bakhshi Sasi M, Seyyed Esfahani MM (2016) Solving a robust capacitated arc routing problem using a hybrid simulated annealing algorithm: a waste collection application. J Ind Eng Manage Stud 3(1):61–76
Hannan MA, Akhtar M, Begum RA, Basri H, Hussain A, Scavino E (2018) Capacitated vehicle-routing problem model for scheduled solid waste collection and route optimization using PSO algorithm. Waste Manage 71:31–41
Rada EC, Grigoriu M, Ragazzi M, Fedrizzi P (2010) Web oriented technologies and equipments for MSW collection. In Proceedings of the International conference on risk management, assessment and mitigation-RIMA, vol 10, pp 150–153
Al Mamun MA, Hannan MA, Hussain A, Basri H (2016) Theoretical model and implementation of a real time intelligent bin status monitoring system using rule based decision algorithms. Expert Syst Appl 48:76–88
Agarwal S, Jain N, Choudhury T, Singh UV, Tomar R (2021) E-commerce delivery routing system using Bellman–Held–Karp algorithm. In: Advances in electromechanical technologies. Springer, Singapore, pp 277–285
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Sughosh, P., Savitha, G., Girisha, S., Dattatreya, S.B. (2023). Collection of Municipal Solid Waste by Clustering of Dynamic Nodes for Vehicle Path Optimization. In: Nandagiri, L., Narasimhan, M.C., Marathe, S. (eds) Recent Advances in Civil Engineering. CTCS 2021. Lecture Notes in Civil Engineering, vol 256. Springer, Singapore. https://doi.org/10.1007/978-981-19-1862-9_68
Download citation
DOI: https://doi.org/10.1007/978-981-19-1862-9_68
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-1861-2
Online ISBN: 978-981-19-1862-9
eBook Packages: EngineeringEngineering (R0)