Hierarchical LLM-Based Agent Framework for Natural Language-Driven Constraint-Aware Route Suggestion

Providing users with optimal travel plans that meet their diverse and complex needs is the core goal of route recommendation. Traditional routing methods (e.g., shortest-path algorithms and constraint-aware search) deliver efficiency yet rely on struc

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Publication Details

Published
2025-10-13
DOI
https://doi.org/10.22541/au.176038145.52881012/v1
Primary Topic
Service-Oriented Architecture and Web Services
Type
article
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article

Hierarchical LLM-Based Agent Framework for Natural Language-Driven Constraint-Aware Route Suggestion

Naranhvwar Tvlg
Service-Oriented Architecture and Web Services
article

Hierarchical LLM-Based Agent Framework for Natural Language-Driven Constraint-Aware Route Suggestion

Naranhvwar Tvlg
article en

Abstract

Providing users with optimal travel plans that meet their diverse and complex needs is the core goal of route recommendation. Traditional routing methods (e.g., shortest-path algorithms and constraint-aware search) deliver efficiency yet rely on struc

Mongolian University of Science and Technology (MN)
Openalex Percentile: Top 58%
Service-Oriented Architecture and Web Services
DOIOpen Access PDFOpenAlex
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Hierarchical LLM-Based Agent Framework for Natural Language-Driven Constraint-Aware Route Suggestion — Naranhvwar Tvlg · (2025) | TGRS Research Map | TGRS