A PARAMETER IDENTIFICATION OF A CAR-FOLLOWING MODEL

It has been observed on Japanese motorways recently that traffic congestion occurs at bottlenecks, such as sags and tunnels on uninterrupted sections. These bottleneck phenomena have not been studied in detail partly because of the difficulty in acquisition of observed data from real traffic flow. In order to study the bottleneck phenomenon and car-following behavior on sags, an observation is made using a kite balloon at a sag bottleneck on Tomei Expressway. Parameter identification of a new car-following model suggested by Koshi is conducted using the observed data for each vehicle by the kite balloon. The identification is formulated for each observed vehicle by an output error least squares method (OELS) in terms of output errors in spacing and speed, and is solved through a complex search algorithm. It is found that the OELS formulation using the performance of spacing gives better results than that using speed. Both simulated speed and spacing are close to the observed data using the estimated parameters of the car-following model. The car-following model is found to be able to simulate the real traffic flow to a certain acceptable extent through the car-following simulation. Parameter analyses including probabilistic distribution and sensitivity for each parameter of the model are also discussed.

• Supplemental Notes:
  • Five volumes of papers and one volume of abstracts comprise the published set of conference materials.
• Corporate Authors:

  VERTIS

  TORANOMOM 34 MORI BUILDING 1-25-5
  TORANOMON, MINATOKU, TOKYO 105  Japan 
• Authors:
  • Xing, Jia
• Conference:
  • Steps Forward. Intelligent Transport Systems World Congress
  • Location: Yokohama, Japan
  • Date: 1995-11-9 to 1995-11-11
• Publication Date: 1995-11

Language

• English

Media Info

• Pagination: p. 1741

Subject/Index Terms

• TRT Terms: Bottlenecks; Car following; Intelligent transportation systems; Probability; Simulation; Spacing; Speed
• Uncontrolled Terms: Parameters; Probabilistic analysis
• Geographic Terms: Japan
• Old TRIS Terms: Models-simulation
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Safety and Human Factors; I83: Accidents and the Human Factor;

Filing Info

• Accession Number: 00723468
• Record Type: Publication
• Report/Paper Numbers: Volume 4
• Files: TRIS
• Created Date: Jul 28 1996 12:00AM