Institute of Electrical and Electronics Engineers Inc.;New York, NY: IEEE
摘要:
摘要： Nowadays, Intelligent Transportation Systems (ITS) technologies are exploring a wide range of services such as freeway management, crash prevention & safety, driver assistance, and infotainment of drivers and/or passengers. In this paper, an agile urban parking recommendation service for vehicular intelligent guiding system is designed to facilitate city citizens with fully efficient, real-time and precise parking lot guiding suggestions for the sustainability of the future green city. The system offers drivers a friendly parking lot recommendation sequence and saves driver's time circling around by the accurate prediction of the successful parking probability in each parking lot. The proposed cost model constructs an optimal recommendation sequence considering successful parking probability and time to reach the parking lot. Through the collection and analysis of realistic records from parking lots in Taipei city, a prediction algorithm is developed to estimate the successful parking probability by using current available space counts. Extensive experiments are conducted to demonstrate the effectiveness of the prediction algorithm. 其他題名： MITS 出版者： New York, NY: IEEE 出版日期： 2014 出處： IEEE intelligent transportation systems magazine, 2014, Vol.6 (1), p.35-49 資源來源： IEEE Electronic Library (IEL) 版權： 2015 INIST-CNRS 版權： Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2014 識別號： ISSN: 1939-1390 識別號： EISSN: 1941-1197 識別號： DOI: 10.1109/MITS.2013.2268549 識別號： CODEN: IITSBO
