Building representative velocity profiles using FastDTW and spectral clustering
Dokumenttyp:
Konferenzbeitrag
Autor(en):
Lohrer, J., Lienkamp, M.
Seitenangaben Beitrag:
45-49
Abstract:
The use of map based representative velocity profiles allows to predict the future state of a vehicle. The suggested approach is based on Fast Dynamic Time Warping. Spectral clustering is used to distinguish velocity profiles. Applying abstraction can significantly reduce computation time with a minor effect on cluster allocation. Outlier removal increases the quality of cluster identification. The approach was applied to the road network of Munich, to prove the universal applicability.
Stichworte:
FTM Smarte Mobilität
Kongress- / Buchtitel:
ITS Telecommunications (ITST), 2015 14th International Conference on