Using Data Mining to Analyze Archived Traffic Related Data

Little is known to date about the value of applying data mining, especially association mining, to transportation-generated data. The rapid development of intelligent transportation systems (ITS) has generated large amounts of data for transportation professionals. Some of these data are being used in data mining investigations following on the success of researchers on areas like business and computer science have had, yet there is still much to be learned. The methodology used in this study consisted of using association methods to obtain new information from pairs of data such as time and level of service. In this paper, how traditional views of traffic data can be complemented with data mining techniques is explored and described, thereby demonstrating the opportunities that data mining could offer in better understanding the situation and, furthermore, help yield better decisions. The results present graphical illustrations of the associations found between the different pairs of data and the corresponding discussions.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/0784407991
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Amado, Vanessa
  • Virkler, Mark R
• Conference:
  • Applications of Advanced Technology in Transportation. The Ninth International Conference
  • Location: Chicago Illinois, United States
  • Date: 2006-8-13 to 2006-7-16
• Publication Date: 2006

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References;
• Pagination: pp 310-318
• Monograph Title: Applications of Advanced Technology in Transportation. Proceedings of the Ninth International Conference

Subject/Index Terms

• TRT Terms: Computer science; Data collection; Data mining; Decision making; Highway traffic control; Intelligent transportation systems; Level of service; Time; Traffic; Traffic congestion; Traffic data; Traffic delays; Traffic volume
• Uncontrolled Terms: Transportation professionals
• Subject Areas: Highways; Operations and Traffic Management; Public Transportation; I73: Traffic Control;

Filing Info

• Accession Number: 01038700
• Record Type: Publication
• ISBN: 0784407991
• Files: TRIS
• Created Date: Dec 29 2006 11:07AM