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ZENODO
Journal . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Journal . 2024
License: CC BY
Data sources: Datacite
ZENODO
Journal . 2024
License: CC BY
Data sources: Datacite
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Trash Track: A Location-Based Application

Authors: Punse, Srushti; Pusdekar, Vaishnavi; Gawai, Anjali; Bageshwar, Sachi; Bakal, Sayali; Gupta, Prof N. G.;

Trash Track: A Location-Based Application

Abstract

The paper introduced the garbage collector system for maintaining hygienic conditions in a smart city. Our system is designed to solve this issue and will provide complete details of the vehicles located in the different areas throughout the city. The concerned public can access the information anywhere and anytime to get the details. Accordingly, they can decide on this immediately. The key aspect of this system is to collect garbage from the public. An Android application will provide us with the exact garbage status. GPS employed will pinpoint the exact location of the vehicle. A central feature of this app is its live tracking system, enabling users to monitor the precise location of the garbage truck in real time. Additionally, it offers estimated arrival times, effectively reducing waiting times for residents and optimizing the waste collection process. What truly sets this application apart is its focus on community engagement. By actively involving residents in the waste management process, it encourages shared responsibility and cooperation among city dwellers, fostering a cleaner environment and ensuring timely and efficient waste collection. Furthermore, this project serves as a testament to the transformative power of modern technology in enhancing traditional municipal services. It exemplifies how integrating cutting-edge technology can effectively address longstanding challenges and enhance the quality of life for residents in smart cities. The scalability and adaptability of this application make it a valuable asset for optimizing waste management in various urban settings. Its data analytics capabilities provide city officials with valuable insights, enabling more informed decision-making and a proactive approach to waste management.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green