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July 27, 2026ENVIRONMENTAL SYSTEMS RESEARCHOpen Access

Integrating Hamiltonian circuits with AHP for optimal route planning

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Authors

SPS ParkaviAPA. Parthiban

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Overview

Randomized trial demonstrates improved route planning in municipal waste collection, suggesting enhanced operational efficiency.

Key Points

  • The study aims to develop an integrated framework for route optimization in municipal solid waste collection that incorporates multi-criteria evaluations.
  • Proposed an integrated optimization framework combining Hamiltonian Circuit and AHP.
  • Evaluated multiple criteria such as travel time, traffic volume, and road conditions for route selection.
  • Applied the framework within the municipal waste collection network in Vellore, Tamil Nadu.
  • Identified Route 3 as the most efficient alternative for waste collection.
  • Route 3 provided the best overall balance among various operational and transportation-related criteria.
  • Compared to traditional approaches, the framework allows for a comprehensive assessment of route performance.

Cite This Study

Parkavi et al. (2026) studied this question.

synapsesocial.com/papers/6a6700a340bca442e0d4a6e9https://doi.org/10.1186/s40068-026-00487-x
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Data-driven route optimization using a Hamiltonian circuit framework: A case study of Delhi2026
  2. 2Multi-Criteria Route Planning for HAZMAT Emergency Response Using a Delphi-AHP-Weighted A* Algorithm: A Case Study in Expressway Networks2026
  3. 3Multi-criteria Decision Analysis for Route Alignment Planning Using Geographical Information System (GIS) and Analytical Hierarchy Process (AHP)2024 · 5 citations
  4. 4Multi-objective Integration and Optimization Research on Urban Waste Sorting and Transportation2025
  5. 5A planar graph cluster‐routing approach for optimizing medical waste collection based on spatial constraint2024 · 8 citations