Modeling Car-Following Behavior with Lateral Separation and Overtaking Expectation

To better simulate car-following behavior, this paper presents a new car-following model by incorporating the effects of lateral separation and overtaking expectation based on optimal velocity (OV) model. The stability condition of the proposed model is obtained using the stability criteria of linear systems. The results show that when lateral separation and overtaking expectation increase, the stability region of the traffic flow increases at a low density but decreases at a high density. A genetic algorithm is used to calibrate the model using the trajectory datasets provided by the next generation simulation (NGSIM) program. A sensitivity analysis is conducted to demonstrate the robustness of the proposed model parameter space. The model validation results indicate that the introduction of lateral separation and overtaking expectation provides better simulation of car-following behavior than the existing models, especially in some complex driving conditions.

• Supplemental Notes:
  • This paper was sponsored by TRB committee AHB45 Traffic Flow Theory and Characteristics.
• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • Sun, Wen-Bo
  • He, Zhaocheng
  • Zhong, Ren-Xin
  • Zhang, Li-cheng
• Conference:
  • Transportation Research Board 93rd Annual Meeting
  • Location: Washington DC
  • Date: 2014-1-12 to 2014-1-16
• Date: 2014

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 18p
• Monograph Title: TRB 93rd Annual Meeting Compendium of Papers

Subject/Index Terms

• TRT Terms: Car following; Highway safety; Mathematical models; Passing; Sensitivity analysis; Simulation; Traffic density; Traffic flow; Velocity
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; I72: Traffic and Transport Planning; I73: Traffic Control;

Filing Info

• Accession Number: 01516118
• Record Type: Publication
• Report/Paper Numbers: 14-3799
• Files: TRIS, TRB, ATRI
• Created Date: Feb 27 2014 9:06AM