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IoT-Based Smart Waste Collection and Route Optimization in Urban Areas: A Secondary-Data Study of Mumbai and Maharashtra

Khan Mohd Sahil Jaid Mullaji Dr. Kumudini Das

Subject area: Science,Engineering and Technology  ·  Area of research: Internet of Things

Abstract

Handling municipal solid waste remains an ongoing issue in big and fast-growing cities. Collecting waste on predetermined schedules does not necessarily take into account the differences in fill rates at various locations, while a lack of visibility can result in excessive use of vehicles, bin overfill, and inefficient conveyance of the waste to the treatment plants. The present review assesses the potential benefits of IoT sensing and route optimization for waste collection in Mumbai and Maharashtra. This is achieved by summarizing available data on this issue from literature and secondary sources, including the Central Pollution Control Board (CPCB), Maharashtra Pollution Control Board (MPCB), Government of Maharashtra, and Brihanmumbai Municipal Corporation (BMC). The cited documents provide figures of waste generation of 22,632.71 tonnes per day (TPD) in Maharashtra during 2020-21 and 24,299.43 TPD in the MPCB document for 2023. The amounts of waste treated scientifically were 15,056.10 TPD and 19,877.12 TPD, respectively. For the city of Mumbai, the MPCB report has indicated a generation of 6,690 TPD with a treatment/processing capacity of 5,976 TPD, giving a computed value of the ratio as 89.33%. This paper has discussed the concepts of sensor-based monitoring, data platforms, prioritization scores, and vehicle routing models and has provided the structure for an urban pilot project. In the absence of any local sensor measurements, GPS measurements, or field trials, this paper does not claim any measured savings in distance, fuel, and time.

Keywords

Internet of Things (IoT); smart waste management; municipal solid waste; route optimization; Mumbai; Maharashtra; vehicle-routing problem

References

[1] Brihanmumbai Municipal Corporation (BMC) (2024a). Climate budget report 2024–25. https://mcap.mcgm.gov.in/wp-content/uploads/2024/06/English_Climate-Budget-Report-2024-25_compressed.pdf

[2] Brihanmumbai Municipal Corporation (BMC) (2024b). Budget estimates A, B & G 2024–25 / Municipal Commissioner’s speech. https://www.mcgm.gov.in/irj/portal/anonymous/qlenvironment

[3] Brihanmumbai Municipal Corporation (BMC) (2025). Environment status report 2024–25. https://www.mcgm.gov.in/irj/go/km/docs/documents/MCGM%20Department%20List/Environment/Docs/Environment%20Status%20Report%20%202024-25%20%28English%29.pdf

[4] Central Pollution Control Board (CPCB) (2021). Annual report on solid waste management (2020–21). Government of India. https://cpcb.nic.in/uploads/MSW/MSW_AnnualReport_2020-21.pdf

[5] Government of India, Open Government Data Platform (n.d.). State/UT-wise details of solid waste management as per CPCB Annual Report during 2020–21. https://data.gov.in/

[6] Government of Maharashtra (2025). Economic survey of Maharashtra 2024–25. Directorate of Economics and Statistics. https://finance.maharashtra.gov.in/en/publication/economic-survey-of-maharashtra-2023-24/

[7] Maharashtra Pollution Control Board (MPCB) (2024). Annual report of Solid Waste Management Rules, 2016 for the State of Maharashtra (year 2023). https://mpcb.gov.in/en/wastes-management/municipal-solid-waste

[8] Maharashtra Pollution Control Board (MPCB) (n.d.). Annual reports and municipal solid-waste management resources. https://mpcb.gov.in/en/wastes-management/municipal-solid-waste

[9] Mousavi S, Hosseinzadeh A, Golzary A (2023). Challenges, recent development, and opportunities of smart waste collection: A review. Science of the Total Environment, 886, 163925. https://doi.org/10.1016/j.scitotenv.2023.163925

[10] Ramos TRP, de Morais CS, Barbosa-Póvoa AP (2018). The smart waste collection routing problem: Alternative operational management approaches. Expert Systems with Applications, 103, 146–158. https://doi.org/10.1016/j.eswa.2018.03.001

[11] Sharma M, Joshi S, Kannan D, Govindan K, Singh R, Purohit HC (2020). Internet of Things (IoT) adoption barriers of smart cities’ waste management: An Indian context. Journal of Cleaner Production, 270, 122047. https://doi.org/10.1016/j.jclepro.2020.122047

How to cite this paper

Khan Mohd Sahil, Jaid Mullaji, Dr. Kumudini Das "IoT-Based Smart Waste Collection and Route Optimization in Urban Areas: A Secondary-Data Study of Mumbai and Maharashtra" Iconic Research And Engineering Journals Volume 10 Issue 4 2026 Page 3672-3678
Khan Mohd Sahil, Jaid Mullaji, Dr. Kumudini Das "IoT-Based Smart Waste Collection and Route Optimization in Urban Areas: A Secondary-Data Study of Mumbai and Maharashtra" Iconic Research And Engineering Journals, vol. 10, no. 4, Oct. 2026
Khan Mohd Sahil, Jaid Mullaji, Dr. Kumudini Das (2026). IoT-Based Smart Waste Collection and Route Optimization in Urban Areas: A Secondary-Data Study of Mumbai and Maharashtra. Iconic Research And Engineering Journals, 10(4).
Khan Mohd Sahil, Jaid Mullaji, Dr. Kumudini Das "IoT-Based Smart Waste Collection and Route Optimization in Urban Areas: A Secondary-Data Study of Mumbai and Maharashtra" Iconic Research And Engineering Journals, vol. 10, no. 4, Oct. 2026.
@article{1724309,
      author = {Khan Mohd Sahil, Jaid Mullaji, Dr. Kumudini Das},
      title = {IoT-Based Smart Waste Collection and Route Optimization in Urban Areas: A Secondary-Data Study of Mumbai and Maharashtra},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {10},
      number = {4},
      pages = {3672-3678},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1724309.pdf},
      abstract = {Handling municipal solid waste remains an ongoing issue in big and fast-growing cities. Collecting waste on predetermined schedules does not necessarily take into account the differences in fill rates at various locations, while a lack of visibility can result in excessive use of vehicles, bin overfill, and inefficient conveyance of the waste to the treatment plants. The present review assesses the potential benefits of IoT sensing and route optimization for waste collection in Mumbai and Maharashtra. This is achieved by summarizing available data on this issue from literature and secondary sources, including the Central Pollution Control Board (CPCB), Maharashtra Pollution Control Board (MPCB), Government of Maharashtra, and Brihanmumbai Municipal Corporation (BMC). The cited documents provide figures of waste generation of 22,632.71 tonnes per day (TPD) in Maharashtra during 2020-21 and 24,299.43 TPD in the MPCB document for 2023. The amounts of waste treated scientifically were 15,056.10 TPD and 19,877.12 TPD, respectively.
For the city of Mumbai, the MPCB report has indicated a generation of 6,690 TPD with a treatment/processing capacity of 5,976 TPD, giving a computed value of the ratio as 89.33%. This paper has discussed the concepts of sensor-based monitoring, data platforms, prioritization scores, and vehicle routing models and has provided the structure for an urban pilot project. In the absence of any local sensor measurements, GPS measurements, or field trials, this paper does not claim any measured savings in distance, fuel, and time.},
      keywords = {Internet of Things (IoT); smart waste management; municipal solid waste; route optimization; Mumbai; Maharashtra; vehicle-routing problem},
      month = {October},
  }