Parking problem becomes one of major issues in the city transportation management since
the spatial resource of a city is limited and the parking cost is expensive. Lots of cars on the
road should spend unnecessary time and consume energy during searching for parking due
to limited parking space. To cope with these limitations and give more intelligent solutions
to drivers in the selection of parking facility, this study proposes a smart parking guidance
algorithm. The proposed algorithm supports drivers to find the most appropriate parking
facility considering real-time status of parking facilities in a city. To suggest the most suitable
parking facility, several factors such as driving distance to the guided parking facility,
walking distance from the guided parking facility to destination, expected parking cost, and
traffic congestion due to parking guidance, are considered in the proposed algorithm. To
evaluate the effectiveness of the proposed algorithm, simulation tests have been carried
out. The proposed algorithm helps to maximize the utilization of space resources of a city,
and reduce unnecessary energy consumption and CO2 emission of wandering cars since it
is designed to control the utilization of parking facility efficiently and reduce traffic
congestion due to parking space search.