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New AI trip planner uses Z-numbers to cut travel carbon and time

By PulseAugur Editorial · [1 sources] ·

Researchers have developed an eco-friendly tourism trip planner that utilizes Z-numbers to account for uncertainty in travel times and ratings. This planner represents quantities with fuzzy restrictions and evidence reliability, directly incorporating observations from routing services and platform review counts. A hybrid loss function and adaptive search algorithm optimize itineraries for reduced carbon footprint and travel time, with results showing significant improvements in several tested cities. AI

IMPACT This research demonstrates a novel application of AI for optimizing travel itineraries, potentially influencing future travel planning tools.

RANK_REASON The cluster contains a research paper detailing a novel AI application. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New AI trip planner uses Z-numbers to cut travel carbon and time

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The cluster contains a research paper detailing a novel AI application. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Aziz Nuriyev, Sherzod Turaev, Saja Al-Dabet, Mary John, Kanan Qasimzade, Alihuseyn Orujzada, Alihuseyn Orujzada, Aisha Al Ali ·

    An Eco-Friendly Tourism Trip Planner Driven by Z-Number Uncertainty: Evidence from Baku, Dubai, Abu Dhabi, Tashkent, and Istanbul

    arXiv:2610.29120v1 Announce Type: cross Abstract: Deployed tourism trip planners ingest travel times and ratings as exact numbers, although routing services return travel times that vary with the hour of departure and a platform rating may rest on a handful of reviews or on tens …

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