Study on Chaos Model of Expected Headway in Urban Expressway

Modeling vehicle headways, as a probability distribution function or time series, has been the focus of a big number of research projects, most of which was dealing with the statistical approach. This paper presents chaos theory alternative to the classical techniques. A quantitative analysis is conducted on the chaos phenomenon in the car-following fleet based on the headway kept by the two consecutive vehicles and the following vehicle’s speed. By studying the microscopic characteristics of the vehicles fleet in the process of stimuli and reaction it is proved that there exists a chaos occurrence in the car-following fleet. In order to reasonably model the expected headway in traffic stream four expected headway models have been mathematically proposed in this paper. Then, the Rossler chaos attractor are introduced in these four models in order to choose the models that can best describe the actual traffic characteristics. The calibration and validation procedures are conducted using high accurate RTK GPS equipped vehicles to collect data from expressways. Based on the results it can be seen that modified headway models can best reflect the car-following characteristics of the real traffic flow.

• Corporate Authors:

  ITS America

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  Washington, DC  United States  20036
• Authors:
  • Wang, Li
  • Rong, Jian
  • Liu, Xiaoming
  • Yang, Xiaokuan
• Conference:
  • 12th World Congress on Intelligent Transport Systems
  • Location: San Francisco California, United States
  • Date: 2005-11-6 to 2005-11-10
• Publication Date: 2005

Language

• English

Media Info

• Media Type: Print
• Features: CD-ROM; Figures; References; Tables;
• Pagination: 12p
• Monograph Title: Proceedings of the 12th World Congress on Intelligent Transport Systems

Subject/Index Terms

• TRT Terms: Car following; Expressways; Global Positioning System; Headways; Probability; Speed; Time series; Traffic flow; Urban highways; Urban transportation; Vehicles
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; Safety and Human Factors; Vehicles and Equipment; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01015888
• Record Type: Publication
• Files: TRIS
• Created Date: Jan 19 2006 4:56PM