A Framework for Incorporating Driver Behaviors into Simulation Technology for Evaluating Connected Vehicle Applications

The adoption of connected vehicle technology is anticipated at various levels of development and deployment over the next decade. One primary challenge with these new technologies is the lack of platform to enable a robust and reliable evaluation of their safety and mobility benefits given the complexity of wireless communications, algorithms, and range of human behaviors that will interact with and impact upon the system. A simulation technology is commonly accepted as a tool for providing transportation professionals with impact assessment of various operation and control strategies. Simulation models rely on algorithms for microscopic driver behaviors such as car-following and lane-changing models. While these algorithms are sufficient for traditional operation evaluation, they are not always well-suited for modern applications using connected vehicle technology. This project will design a driver modeling framework to enable realistic adjustment of driver behaviors and implement driver modeling modules to facilitate the performance evaluation of connected vehicle applications within the simulation environment. The project will select two connected vehicle applications for prototyping and proof-of-concept testing within the simulation environment. The testing results will be used to refine the modules and demonstrate how the framework can be used to improve the simulation assessment of safety and mobility benefits from connected vehicle applications.

Language

  • English

Project

  • Status: Completed
  • Funding: $72750.00
  • Contract Numbers:

    DTRT13-G-UTC54

    602761-00015

  • Sponsor Organizations:

    Department of Transportation

    Office of the Assistant Secretary for Research and Technology
    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Performing Organizations:

    Texas Transportation Institute

    Texas A&M University System
    3135 TAMU
    College Station, TX  United States  77843-3135
  • Principal Investigators:

    Zhang, Yunlong

    Songchitruksa, Praprut

  • Start Date: 20141001
  • Expected Completion Date: 20160229
  • Actual Completion Date: 20160229
  • Source Data: RiP Project 37104

Subject/Index Terms

Filing Info

  • Accession Number: 01569321
  • Record Type: Research project
  • Source Agency: Center for Advancing Transportation Leadership and Safety (ATLAS Center)
  • Contract Numbers: DTRT13-G-UTC54, 602761-00015
  • Files: UTC, RiP
  • Created Date: Jul 10 2015 1:00AM