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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: March 2026
Volume 11 | Issue 3
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21579
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Total Authors : 22438
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| Paper Title: | AI-IoT Based Predictive Trash Monitoring and Smart Route Optimization System |
| Authors Name: | N Karthica , Baskar S , Dhatchinamoorthy S , Haridharan D |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_207829
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| Published Paper Id: | IJRTI2511131 |
| Published In: | Volume 10 Issue 11, November-2025 |
| DOI: | |
| Abstract: | Abstract—The AI–IoT Based Predictive Trash Monitoring and Smart Route Optimization System presents a modern solution to one of the most pressing challenges in urban management: efficient, sustainable, and intelligent waste collection. Traditional waste management practices rely on fixed schedules and manual operations, which often lead to delayed pickups, overflowing bins, wasted resources, and environmental pollution. Smart bins equipped with ultrasonic and infrared sensors continuously monitor the level of waste and send real-time data, such as bin identification, location, and fill percentage, to a centralized system through wireless communication. The information is analyzed using intelligent algorithms that identify high-waste areas, forecast when bins are likely to become full, and dy- namically plan optimized collection routes for waste trucks. The predictive capability of the system ensures timely waste collection, reduces overflow, and maintains urban cleanliness. The route optimization algorithm minimizes travel distance, fuel consumption, and carbon emissions, making the process environmentally and economically efficient. The system also features a centralized monitoring platform that displays real- time data visualization, alerts, and route updates, enabling authorities to make informed decisions quickly. By combining automation, predictive analytics, and sustainable design, the project significantly reduces human effort, operational costs, and energy consumption while promoting cleaner surroundings and smarter urban infrastructure. |
| Keywords: | IoT, Smart Waste Management, Predictive Mon- itoring, Route Optimization, LoRa, Urban Computing. |
| Cite Article: | "AI-IoT Based Predictive Trash Monitoring and Smart Route Optimization System", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 11, page no.b234-b238, November-2025, Available :http://www.ijrti.org/papers/IJRTI2511131.pdf |
| Downloads: | 000208 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2511131
Registration ID:207829
Published In: Volume 10 Issue 11, November-2025
DOI (Digital Object Identifier):
Page No: b234-b238 Country: Namakkal, Tamil Nadu, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2511131 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2511131 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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