Parking Availability Prediction Using Deep Learning Approaches: Temporal Convolutional Networks (TCN) and TimesNet

Hana Gharrad, Satria Bagus Wicaksono, Ansar Yasar, Iñaki Cejudo Fresnadillo, Josep Maria Salanova Grau and Evdokimos Konstantinidis
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Hana Gharrad: UHasselt - Hasselt University, LAET - Laboratoire Aménagement Économie Transports - UL2 - Université Lumière - Lyon 2 - ENTPE - École Nationale des Travaux Publics de l'État - CNRS - Centre National de la Recherche Scientifique
Satria Bagus Wicaksono: UHasselt - Hasselt University
Ansar Yasar: UHasselt - Hasselt University
Iñaki Cejudo Fresnadillo: BRTA - Basque Research and Technology Alliance
Josep Maria Salanova Grau: CERTH - Centre for Research and Technology Hellas
Evdokimos Konstantinidis: Aristotle University of Thessaloniki

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Abstract: The concept of 15-minute city is gaining more attention not only as a powerful tool for decarbonization or improving public health and community-building, but also to build a coalition for a positive, forward-looking vision, and equitable future. In a traditional car-centric city, the goal of parking management is to enhance convenience for vehicles (roads, parking management, infrastructures, signs). In a 15-minute city, the goal radically shifts toward minimizing car use, and parking management becomes a tool to discourage unnecessary car trips, reclaim public space for people, and ensure equitable access for residents and essential services. Parking policies are one of the most direct levers a city can pull to change travel behavior and support the 15-minute model. The prediction of parking availability provides the intelligence to make those policies smarter and more effective. In this chapter, we compare the performance of two deep learning models for the prediction of parking availability based only on historical occupancy data.

Keywords: Machine Learning; Artificial Intelligence; Transportation Technology and Traffic Engineering; Urban Politics; Urban Policy; Transport Research (search for similar items in EconPapers)
Date: 2026-06-02
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Published in Louafi Bouzouina; Karima Kourtit; Peter Nijkamp. 15-Minute Cities, Sustainable Mobility and Urban Livability: A New Urban Landscape Challenge, Springer Nature Switzerland, pp.339-351, 2026, Footprints of Regional Science, eISSN 2662-9631, ISSN 2662-9623. Part of the book sub series: The Voice of Regional Science, ISBN 978-3-032-20839-2, eISBN 978-3-032-20840-8. ⟨10.1007/978-3-032-20840-8_18⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05727729

DOI: 10.1007/978-3-032-20840-8_18

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