A Recommendation Model of Smart Parking

Parking search is a challenging task in most urban areas. The traffic resulting from drivers cruising for parking has a great effect on the environment, increasing energy consumption and emissions of CO2. Existing parking search applications only provide the information such as the address of parking spot, turn-by-turn navigation to the parking destination and available parking space. We have proposed a real-time parking android based APP for Pingtung city, which connects with different parking management servers to locate the best parking spaces based on the drivers needs, such as driving distance to parking spot, walking distance from parking spot to destination, available parking space and parking price. The results have shown that the APP helps to reduce the environmental burden as well as the time spent looking for parking.