Modeling Drivers' Lateral Motion Control

Vehicle lateral motion including lane change, merging, and turning is a major contributor to traffic accidents. Realistic modeling of drivers' lateral motion control can not only improve the understanding of the mechanisms that trigger these accidents but also permit the design of advanced systems that are capable of warning drivers of potential hazard during lateral movements. Departing from conventional, descriptive approach to modeling vehicle lateral motion which fits statistical models to field data, this research takes an explanatory approach by capturing the mechanism that underlies drivers' lateral motion control. A clear understanding of what factors are involved in driver lateral control and how these factors function in driver decision-making will lead to the formulation of Lateral Control Model. This model will incorporate lane changing and gap acceptance decisions into a single model and apply to both highways and intersections. This research responds to the Grant Theme of Safety. In particular the research focuses on not only human factors research as it relates to elderly drivers but also technology-related research which leads to better traffic simulators and on-board lateral collision warning systems.


  • English


  • Status: Completed
  • Funding: $120240.00
  • Contract Numbers:



  • Sponsor Organizations:

    Research and Innovative Technology Administration

    Department of Transportation
    1200 New Jersey Avneue, SE
    Washington, DC  United States  20590
  • Performing Organizations:

    New England University Transportation Center

    Massachusetts Institute of Technology
    77 Massachusetts Avenue, Room 40-279
    Cambridge, MA  United States  01239
  • Start Date: 20120101
  • Expected Completion Date: 0
  • Actual Completion Date: 20160131
  • Source Data: RiP Project 33385

Subject/Index Terms

Filing Info

  • Accession Number: 01489787
  • Record Type: Research project
  • Source Agency: New England University Transportation Center
  • Contract Numbers: DTRT12-G-UTC01, UMAR24-24
  • Files: UTC, RiP
  • Created Date: Aug 15 2013 1:01AM