Multilevel Analysis for the Effect of Rainfall on Traffic Speed for Urban Roads

The effect of rainfall on traffic speed is investigated in this study by Hierarchical Linear Models (HLM). Based on large-scale data from various types of segments, a new dynamic model for traffic speed under rainfall conditions is proposed in this paper. This exploration makes efforts to take into consideration traffic factors together with physical characteristics of roadway segments to analyze the influencing factors of traffic stream. The results show that there is a "nested" or "hierarchical" structure in the information of traffic stream. Thus, compared with traditional statistical analysis methods, it is more reasonable to adopt HLM for the research on traffic stream. Additionally, there is the spatial heterogeneity in the impact of rainfall on traffic speed, due to the fact that the timing plans of intersection and the geometric characteristics vary from segment to segment. The effect of rainfall on speed will vary with such variables like the length of segment, the number of lanes and green ratio of signal control intersection. There would be general applicability of segments for the prediction of speed under rainfall conditions in the new model presented here.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee ANB20 Safety Data, Analysis and Evaluation.
  • Corporate Authors:

    Transportation Research Board

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    Washington, DC  United States  20001
  • Authors:
    • Lin, Zhi-Heng
    • He, Zhao-Cheng
    • Sun, Wen-Bo
    • Zeng, Quan-Yun
    • He, Dong-Ming
  • Conference:
  • Date: 2014

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 17p
  • Monograph Title: TRB 93rd Annual Meeting Compendium of Papers

Subject/Index Terms

Filing Info

  • Accession Number: 01515498
  • Record Type: Publication
  • Report/Paper Numbers: 14-5179
  • Files: TRIS, TRB, ATRI
  • Created Date: Feb 24 2014 8:42AM