Model kooperativnoga pristupa u sustavima upućivanja vozila na parkiranje
2015
The growth trend and the trend of population migration into city centers, as well
as the continuous increase in the number of motor vehicles cause traffic jams and
congestions in most major cities in the world. One of the identified factors of the above
mentioned negative effect is the circling in search of available parking space, which not
only contributes to the total amount of congestion in city centers, but also affects the
amount of time that drivers spend unnecessarily in vehicle, the stress level of drivers,
the amount of emissions, and, indirectly, the health and safety of living beings.
In order to eliminate the problems caused by the circling in search of available parking
space, i.e. by the congestion, the different methods and approaches are implemented.
First of all, these are the appropriate strategies and policies that are made in order to
regulate the existing situation and to demotivate the arrival of part of the population
in the city center, which does not represent a necessity. Another way to eliminate the
above problem, which is the most emphasized in this paper, is represented by the
intelligent parking systems.
Intelligent parking systems are used to guide the driver to the available parking space
and to provide the information on the characteristics of the same. Regularly they are
also used for parking reservation and payment, but in most cases they were related
exclusively to closed parking lots and garages. With the technological progress and the
development of intelligent sensors it has become possible to even control street
parking spaces, which is especially emphasized in this paper.
Furthermore, the classic model of search of available parking spaces is analyzed, and
then the advanced model of guidance to available parking spaces using a cooperative
approach is proposed. The simulation model of the proposed advanced system is
developed and indicators of effectivness for four different scenarious in the cases with
and without traffic congestion are examined. The simulation analysis presents the
advantages of this system compared to the classical approach and main factors of its
effectiveness are highlighted.
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