Effective Parking Recommendation Service for Intelligent Vehicular Guiding System

• Main Authors: Chi-Yun Liu, 劉季昀
• Other Authors: Eric Hsiao-Kuang Wu
• Format: Others
• Language: en_US
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/68620940219609724605

碩士 === 國立中央大學 === 資訊工程研究所 === 99 === In this paper, an effective parking recommendation service for vehicular intelligent guiding system is provided with real-time parking lot guiding service for future green city. The system shows drivers a best parking lot recommendation sequence and saves drivers’ time circling around by the accurate prediction of parking probability in each parking lot. The cost model containing parking probability as a factor for the best recommendation sequence is constructed according to the main conditions for parking. Through the collection and analysis of real data from parking lots in Taipei city, an integrated algorithm is developed to estimate the parking probability by the condition of current available spaces and parking popularity. Comparative experiments are performed to verify the improvement of prediction algorithm.