Application of Multidimensional Data Model in the Traffic Accident Data Warehouse

Mou Zhong Liu; Min Sun

doi:10.4028/www.scientific.net/AMM.548-549.1857

Paper Titles

The Laws and Measurements Analysis about Urban Rail Transit Noise and Vibration Reduction
p.1839

The City Traffic Service Platform Based on MPI Model
p.1844

The Simulation of Non-Gaussian Vibration Environment on Railway
p.1848

Research of a MapReduce Model to Process the Traffic Big Data
p.1853

Application of Multidimensional Data Model in the Traffic Accident Data Warehouse
p.1857

A Study of the Traffic Flow Predictive Model Based on Mathematical Statistics and Stochastic Process
p.1862

Effective Bridging Agent Particle Sizes of Reservoir Drilling Mud
p.1871

Carbon Dioxide (CO₂) Foam Stability Dependence on Nanoparticle Concentration for Enhanced Oil Recovery (EOR)
p.1876

Determination of Irreducible Water Saturation and its Application in Analysing Water Producing after Fracturing
p.1881

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 548-549Application of Multidimensional Data Model in the...

Application of Multidimensional Data Model in the Traffic Accident Data Warehouse

Abstract:

The traffic administrative department would record real-time information of accidents and update the corresponding database when dealing with daily traffic routines. It is of great significance to study and analyze these data. In this paper, we propose a Multi-dimensional Data Warehouse Model (M-DWM) combined with the concept of Data Warehouse and multi-dimensional data processing theory. The model can greatly improve the efficiency for statistical analysis and data mining.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 548-549)

Pages:

1857-1861

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.548-549.1857

Citation:

Cite this paper

Online since:

April 2014

Authors:

Mou Zhong Liu*, Min Sun

Keywords:

Data Warehouse, Multi-Dimensional Data Model, Traffic Accident Formatting

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] China Statistical Yearbook 2012，23-13 Basic Statistics on Traffic Accidents (2011).

Google Scholar

[2] W. H. Inmon． Building the Data Warehouse ［M］． Second Edition．Hoboken，NJ： John Wiley ＆ Sons Inc， 1996.

Google Scholar

[3] WilliamH. Inmon, Wang Zhihai. Building the Data Warehouse. Beijing: mechanical industry press, (2006).

Google Scholar

[4] Lin Yu et al. The theory and practice of data warehouse. Beijing: People's Posts and Telecommunications Press, (2003).

Google Scholar

[5] Wang Hongyan, Wang Qi, Application of multi-level and multi-dimensional association rules in analysis of traffic accidents, CA: Journal Of Transport Science And Engineering, Vol. 25(2009). P. 72~76.

Google Scholar

[6] Zhang Yuntao, Gong Ling. Data mining theory and techniques. Beijing: Publishing House of electronics industry, 2004.P. 57~98.

Google Scholar

[7] Su Xinyu, Yang Jianlin, Jiang Niannan etc. Data warehouse and data mining [M]. Beijing: Tsinghua University press, 2006.P. 57~68.

Google Scholar