Parking space occupancy as an example of a shared resource modelling problem
Parking space occupancy as an example of a shared resource modelling problem

Summary/Abstract: City logistics is at the forefront of mainstream logistics. In the literature, definitions of this logistics include, among others, the issues of traffic flow and parking space availability in cities. There is a steady increase in the number of wheeled vehicles in cities of all sizes. This generates the problem of parking space availability. The limited amount of available parking resources, which will always be insufficient, especially with increasing vehicular traffic, causes the need for their rational use. In this paper, we analyse the problem of occupancy and demand for free parking spaces. A discrete simulation method was used. A stochastic model was developed in a computer environment, taking into account such parameters as: (a) density of traffic streams; (b) demand of vehicles for free space; (c) vehicle parking times; (d) actual parking space utilisation in examples. Simulations using the developed model were carried out for three car parks. These showed that only car park B maintained traffic flow, as it had enough spaces to handle the traffic flow. Car parks A, and B are inefficient and allow for a smooth parking period of 2 to 3 hours from a neutral state. However, this is impossible in practice as these car parks are never empty as there are always vehicles parked there. The simulation gives reliable results within a 90% confidence interval.

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