Application of Spatial Statistic Analysis in Traffic Bottlenecks
by Wen Yang, (School of Transportation Engineering, Tongji University, Cao’an Highway No.4800, Shanghai 201804, China E-mail: yw501@yahoo.cn), Yali Zhao, (School of Transportation Engineering, Tongji University, Cao’an Highway No.4800, Shanghai 201804, China E-mail: ally1009@yahoo.com), and Liang Ye, (School of Transportation Engineering, Tongji University, Cao’an Highway No.4800, Shanghai 201804, China E-mail: yel1231@hotmail.com)
pp. 699-704, (doi: http://dx.doi.org/10.1061/41039(345)116)
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| Document type: |
Conference Proceeding Paper |
| Part of: |
International Conference on Transportation Engineering 2009 |
| Abstract: |
With the related knowledge of exploratory spatial data analysis (ESDA) based on GIS, this paper analyzed the traffic bottleneck of a study area in a city. Building an adjacency matrix with travel speed as the spatial attribute. The whole distribution status of traffic bottlenecks can be known by the global spatial autocorrelation analysis, and the relation among traffic bottlenecks also can be known by the local spatial autocorrelation analysis. The key section of road which plays an important role in the traffic system can be attained after the significant hypothesis testing, so offering an actual reference to make a reconstruction plan for roads. |
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