Discovering Cyclists' Visual Preferences Through Shared Bike Trajectories and Street View Images Using Inverse Reinforcement Learning

Cycling has gained global popularity for its health benefits and positive urban impacts. To effectively promote cycling, early studies have extensively investigated the relationship between cycling behaviors and environmental factors, especially cyclists' preferences when making route decisions...

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Veröffentlicht in:	arXiv.org 2024-10
Hauptverfasser:	Ren, Kezhou, Jin, Meihan, Liu, Huiming, Gong, Yongxi, Liu, Yu
Format:	Artikel
Sprache:	eng
Schlagworte:	Bicycles Bicycling Big Data Explainable artificial intelligence Maximum entropy Streets Visual aspects Visual effects
Online-Zugang:	Volltext
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