Exploiting User Behavior to Predict Parking Availability through Machine Learning

Exploiting User Behavior to Predict Parking Availability through Machine Learning

Cruising-for-parking in an urban area is a time-consuming and frustrating activity. We present four machine learning-based models to predict the parking availability of street segments in an urban area on a three-level scale, which navigator and smart-parking apps can exploit to ease and reduce the...

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Bibliographic Details
Main Authors: Enrico Bassetti, Andrea Berti, Alba Bisante, Andrea Magnante, Emanuele Panizzi
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Smart Cities
Subjects:
parking availability
machine learning
artificial neural network
user-centered artificial intelligence
HCI
Online Access:https://www.mdpi.com/2624-6511/5/4/64

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https://www.mdpi.com/2624-6511/5/4/64

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