Abstract
Parking activities are one of the major problems in modern cities' transportation management systems. It is a complex and expensive process, and its price is determined not only by service tariffs, but also by resources invested in finding and traveling to vacancy spaces. Parking problems in larger cities can lead to increased air pollution, noise, driver time losses, stress and congestion. Parking guidance information systems (PGIS) have been successfully used to improve services and reduce harmful effects. Using case-based reasoning methodology in parking management and guidance systems could improve services and reduce required resources. Data collected from the existing drivers’ experience can be used by PGIS to generate solutions in free parking space search.
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