Algorithmic Planning, Simulation and Validation of Smart, Shared Parking Services using Edge HW
Presented at SAAM Mobility 2021 (https://events.eclipse.org/2021/saam-mobility/)
Authors: Muralikrishna Thulasi Raman, Andreas Graf, Benedikt Niehues and Marco Aiello
Abstract: A major problem with vehicles used in densely populated areas is parking. Part of the problem is the scarcity of the resource in busy areas and the non optimal utilization of private spots. We propose the 'Smart Shared Private Parking' model that aims at including in the parking pool also private parking spots. In an urban area with both commercial and residential buildings, frequently household owners do not utilize their own parking lots during office hours, long duration of shopping and vacations. At the same time, such owners want to be able to park in their lots when needed. Therefore, to engage the residents and allow them to provide their parking spaces when unused one needs a real-time, distributed infrastructure that supports dynamic allocation of spaces. We propose a conceptual deployment of edge hardware and communication mechanisms to enable shared private parking sharing. We illustrate an infrastructure setup required to analyse various aspects of the model and show its effectiveness in parking allocation in terms of vehicular emission, utilisation rate, and revenue as metrics considering all the stakeholders. A simulation based on a district of Dublin provides quantitative instances for these metrics.