Unoccupied parking space prediction of chaotic time series - Details

Author：

Liu, Shixu (Liu, Shixu.) | Guan, Hongzhi (Guan, Hongzhi.) (Scholars：关宏志) | Yan, Hai (Yan, Hai.) | Yin, Huanhuan (Yin, Huanhuan.)

Indexed by：

EI Scopus

Abstract：

Parking　Guidance　System　is　an　important　component　of　the　Intelligent　Transportation　System.　Unoccupied　parking　space　prediction　is　a　crucial　technology　of　the　system.　So　far　there　have　been　no　reliable　prediction　methods.　Therefore,　to　predict　the　future　unoccupied　parking　space　of　parking　lot　becomes　an　important　research　subject.　Based　on　the　chaotic　time　series　forecasting　methods　of　historical　data,　the　paper　developed　a　weighted　one-rank　local-region　method　to　predict　unoccupied　parking　space.　The　model　was　verified　with　observed　data　of　a　Parking　Guidance　System　in　Beijing,　China.　The　results　show　that　the　prediction　model　is　precise　and　model　has　a　great　practical　value.　©　2010　ASCE.

Keyword：

Forecasting Time series analysis Remote control Intelligent systems

Author Community：

[ 1 ] [Liu, Shixu]Key Lab of Transportation Engineering, Beijing University of Technology, Beijing, 100124, China
[ 2 ] [Guan, Hongzhi]Key Lab of Transportation Engineering, Beijing University of Technology, Beijing, 100124, China
[ 3 ] [Yan, Hai]Key Lab of Transportation Engineering, Beijing University of Technology, Beijing, 100124, China
[ 4 ] [Yin, Huanhuan]Key Lab of Transportation Engineering, Beijing University of Technology, Beijing, 100124, China