Nonparametric Analysis of Timely Distribution of Traffic Crash

Compared with parametric analysis method, nonparametric method is more robust and widely used. In order to make different safety policy of various kinds of time and reduce traffic crashes, this paper wisely and reasonably uses nonparametric tests models, such as Mann-Whitney, and Shapiro-Wilk, to analyze traffic crash date. After testing of normality, this paper discusses timely distributions of traffic crashes --hourly, monthly and yearly distributions of traffic crash data by nonparametric tests. So some right models for suitable timely distribution are given. Finally, analysis of related crashes data in America and China is carried out.

• Record URL:
  • https://doi.org/10.1061/41064(358)85
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784410646
• Supplemental Notes:
  • © 2009 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Zhang, Yaping
  • Lan, Xiang
  • Zheng, Ke
  • Liu, Lihua
  • Yao, Xu
• Conference:
  • Ninth International Conference of Chinese Transportation Professionals (ICCTP)
  • Location: Harbin China, United States
  • Date: 2009-8-5 to 2009-8-9
• Publication Date: 2009

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 1-6
• Monograph Title: ICCTP 2009: Critical Issues In Transportation Systems Planning, Development, and Management

Subject/Index Terms

• TRT Terms: Crash data; Time of crashes; Traffic crashes
• Geographic Terms: China; United States
• Subject Areas: Highways; Safety and Human Factors;

Filing Info

• Accession Number: 01920268
• Record Type: Publication
• ISBN: 9780784410646
• Files: TRIS, ASCE
• Created Date: May 31 2024 8:57AM