Analysis and Modelling of Tactical Decisions of Vehicular Lateral Movement in Mixed Traffic Environment

The traffic streams are mostly heterogeneous in nature in many developing countries. They require modelling a mix of different vehicle types and weak lane discipline. Lateral movements in these streams have a significant impact on the characteristics of traffic flow. Lateral movement models, therefore form an important component of mixed traffic micro-simulation tools. Lateral movement maneuvers can be divided into three sequential stages: the motivation to change the current path, the selection of a path (either to the left or right) to change into and the execution of the lateral movement. The first two stages constitute the lateral movement decision and the final stage is associated with the lateral movement performance. Existing lateral movement models emphasize the general car-based decision-making aspects of the task, but generally neglect the detailed modelling of the tactical decisions and execution by vehicle type. The absence of mode-based lateral shift models in the current simulation tools may have a significant impact on simulated traffic flow characteristics and on simulation outputs. This paper presents vehicle type variant models of lateral movement tactical decision and choice making. These models are estimated using detailed vehicle trajectory data that was collected in mixed traffic driving conditions using high mounted video cameras. For extracting the trajectories of vehicles, a vanishing-point based camera calibration technique which converts the image coordinates to real world coordinates was made use of. The rigorous statistical tests conducted for the similarity of mode-specific influential variables clearly indicate the existence of significant difference between them giving rise to the need for development of vehicle type dependent models. Separate models for passenger cars, heavy vehicles, three-wheeled and two-wheeled motorized vehicles are presented based on random utility modelling concepts.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; Photos; References; Tables;
  • Pagination: 14p
  • Monograph Title: TRB 93rd Annual Meeting Compendium of Papers

Subject/Index Terms

Filing Info

  • Accession Number: 01516112
  • Record Type: Publication
  • Report/Paper Numbers: 14-3832
  • Files: TRIS, TRB, ATRI
  • Created Date: Jan 27 2014 3:19PM