Many recent applications of intelligent transportation systems require both real-time and network-wide traffic flow data as input. However, as the detection time and network size increase, the data volume may become very large in terms of both dimension and scale. To address this concern, various traffic flow data compression methods have been proposed, which archive the low-dimensional subspace rather than the original data. Many studies have shown the traffic flow data consist of different components, i.e. low-dimensional intra-day trend, Gaussian type fluctuation and burst components. Existing compression methods cannot compress the burst components well and provide very limited choices of compression ratio (CR). A better compression method should have the ability to archive all the dominant information in different components of traffic flow data. In this study, the authors compare the influence of different data reformatting, archive the bursts defined before in descending order with respect to the absolute value of the burst points and propose a flexible compression framework to balance between burst components and low-dimensional intra-day trend. Experimental results show that the proposed framework promotes the reconstruction accuracy significantly. Moreover, the proposed framework provides more flexible choices with respect to CR, which can benefit a variety of applications.


    Zugriff

    Zugriff über TIB


    Exportieren, teilen und zitieren



    Titel :

    Traffic flow data compression considering burst components


    Beteiligte:
    Feng, Shuo (Autor:in) / Ke, Ruimin (Autor:in) / Wang, Xingmin (Autor:in) / Zhang, Yi (Autor:in) / Li, Li (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2017-09-28


    Format / Umfang :

    9 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Traffic flow data compression considering burst components

    Feng, Shuo / Ke, Ruimin / Wang, Xingmin et al. | Wiley | 2017

    Freier Zugriff

    Spinal burst or compression fractures within automotive crashes due to vertical force components

    Molz,F.J. / Bidez,M.W. / Zeidler,F. et al. | Kraftfahrwesen | 1997


    Spinal Burst or Compression Fractures within Automotive Crashes Due to Vertical Force Components

    Zeidler, Falk / Molz, Fred J. / Bidez, Martha Warren et al. | SAE Technical Papers | 1997


    Analysis of Burst Segmentation in Optical Burst Switching Networks Considering Path Correlation

    Venkatesh, T. / Jayaraj, A. / Murthy, C.S.R. | British Library Online Contents | 2009


    Mobile traffic classification through burst traffic statistical features

    Anamuro, Cesar Vargas / Lagrange, Xavier | IEEE | 2023