Irregular Data Cleansing for Generating Statistical Data

Real-time traffic information is essential in intelligent transportation system (ITS) service for users to estimate arrival time to destinations. Statistical data, generated from historical data, is a useful compensation for real time data to improve the quality of traffic information. Therefore, the generation of high quality statistical data becomes very important. The paper introduces an irregular data cleansing method, which is a key issue to produce fluent data for statistical data generation. Evaluation results based on two months historical data in Beijing indicate that the proposed method can efficiently cleanse irregular data.

• Corporate Authors:

  ITS America

  1100 17th Street, NW, 12th Floor
  Washington, DC  United States  20036
• Authors:
  • Zhang, Yuhe
  • Li, Man
  • Wang, Wenjia
• Conference:
  • 16th ITS World Congress and Exhibition on Intelligent Transport Systems and Services
  • Location: Stockholm , Sweden
  • Date: 2009-9-21 to 2009-9-25
• Publication Date: 2009

Language

• English

Media Info

• Media Type: CD-ROM
• Features: Figures; References; Tables;
• Pagination: 8p
• Monograph Title: ITS in Daily Life

Subject/Index Terms

• TRT Terms: Data cleaning; Intelligent transportation systems; Origin and destination; Real time information; Statistical analysis; Traffic data
• Uncontrolled Terms: Arrival time
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01148271
• Record Type: Publication
• Files: TRIS
• Created Date: Jan 25 2010 8:08AM