Reservation Based Smart Parking Management

TL;DR

This paper proposes a dual-mechanism smart parking reservation system that improves reliability and reduces 'No PARK' issues by using dynamic buffers and reputation-based incentives, validated through SUMO simulations.

Contribution

It introduces a novel dual-mechanism architecture combining dynamic buffers and reputation incentives to enhance parking reservation reliability in smart city environments.

Findings

Dynamic buffer strategy improves reservation success rate.

Reputation system incentivizes punctuality and reduces no-shows.

Simulations show better resource utilization and system reliability.

Abstract

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