Reservation Based Smart Parking Management

Fuente: arXiv
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Autores principales: Cabri, Giacomo, Montangero, Manuela, Muzzini, Filippo, Wang, Roberto
Formato: Preprint
Publicado: 2026
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author Cabri, Giacomo
Montangero, Manuela
Muzzini, Filippo
Wang, Roberto
author_facet Cabri, Giacomo
Montangero, Manuela
Muzzini, Filippo
Wang, Roberto
contents In the framework of Smart Cities and Intelligent Transportation Systems (ITS), efficient parking management is essential to reduce urban congestion and emissions. However, current reservation-based systems often encounter a scenario in which users find their reserved slot occupied by a previous occupant who failed to vacate on time ("No PARK" situation). This paper introduces a dual-mechanism architecture designed to enhance system reliability. A Reservation Module uses a dynamic size buffer of non-reservable slots to grant parking availability. A reputation-based Reward System exploits a "star-based" metric to incentivize punctual departures through financial penalties and access restrictions. The simulations conducted with the SUMO urban simulator are promising, showing that the dynamic buffer strategy provides a better tradeoff between parking availability and reservation success. By progressively adapting to users behavior, the proposed system mitigates "NO PARK" instances and improves resource utilization, significantly enhancing urban viability. Index Terms-Smart City, Intelligent transportation systems, Parking, Reservation systems, V2I, Reputation-based mechanisms, Smart Parking
format Preprint
id arxiv_https___arxiv_org_abs_2605_17650
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Reservation Based Smart Parking Management
Cabri, Giacomo
Montangero, Manuela
Muzzini, Filippo
Wang, Roberto
Multiagent Systems
In the framework of Smart Cities and Intelligent Transportation Systems (ITS), efficient parking management is essential to reduce urban congestion and emissions. However, current reservation-based systems often encounter a scenario in which users find their reserved slot occupied by a previous occupant who failed to vacate on time ("No PARK" situation). This paper introduces a dual-mechanism architecture designed to enhance system reliability. A Reservation Module uses a dynamic size buffer of non-reservable slots to grant parking availability. A reputation-based Reward System exploits a "star-based" metric to incentivize punctual departures through financial penalties and access restrictions. The simulations conducted with the SUMO urban simulator are promising, showing that the dynamic buffer strategy provides a better tradeoff between parking availability and reservation success. By progressively adapting to users behavior, the proposed system mitigates "NO PARK" instances and improves resource utilization, significantly enhancing urban viability. Index Terms-Smart City, Intelligent transportation systems, Parking, Reservation systems, V2I, Reputation-based mechanisms, Smart Parking
title Reservation Based Smart Parking Management
topic Multiagent Systems
url https://arxiv.org/abs/2605.17650