ERI: Rethinking Traffic Flow in the Era of Electric Vehicles with Driver Assistance and Automation

Information

  • NSF Award
  • 2301446
Owner
  • Award Id
    2301446
  • Award Effective Date
    6/1/2023 - a year ago
  • Award Expiration Date
    5/31/2025 - 4 months from now
  • Award Amount
    $ 195,079.00
  • Award Instrument
    Standard Grant

ERI: Rethinking Traffic Flow in the Era of Electric Vehicles with Driver Assistance and Automation

This Engineering Research Initiation (ERI) project will support fundamental research to help understand electric vehicles’ potential benefit to traffic flow and operations, and to provide valuable insights on the important implications in transportation planning, traffic management, and transportation infrastructure design in an era of increasing electric vehicle adoption. Unlike vehicles with internal combustion engines, electric vehicles offer responsive and easily accessible performance because electric powertrain can deliver peak torque and swift acceleration almost immediately and decelerate immediately via regenerative braking unique to electric motors. These powertrain advantages can enable today’s advanced driver assistance systems (ADAS) and future vehicle automation technologies to operate more efficiently, and potentially reduce traffic congestion, improve safety, and reduce overall energy consumption and emissions of the entire vehicle fleet. Ultimately, these benefits to the transportation sector could improve productivity, enhance economic vitality and quality of life, mitigate environmental impact, and reduce energy dependence.<br/><br/>This award focuses on electric vehicles equipped with today’s commercially available Advanced Driver Assistance Systems such as Adaptive Cruise Control. The research will (i) develop standardized procedures to collect empirical data at the trajectory level, (ii) analyze the comprehensive car following behavior of electric vehicles with Adaptive Cruise Control by conducting field experiments using production vehicles from different manufacturers, (iii) develop new microscopic level models to capture the car following behavior that encompasses the full speed range, and (iv) implement the microscopic models in simulation to perform prospective analysis, develop macroscopic models such as the fundamental diagram, and explore possible implications for traffic control and management as well as other aspects such as traffic safety and emissions impacts. The research will prepare transportation practitioners and future graduates for emerging technologies in vehicle automation and electrification to ultimately accelerate the adoption of knowledge gained from this research into real world transportation engineering practice. This research will provide invaluable empirical datasets, models, and initial insights to the community of transportation researchers and practitioners.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

  • Program Officer
    Siqian Shensiqshen@nsf.gov7032927048
  • Min Amd Letter Date
    6/12/2023 - a year ago
  • Max Amd Letter Date
    6/12/2023 - a year ago
  • ARRA Amount

Institutions

  • Name
    Florida Atlantic University
  • City
    BOCA RATON
  • State
    FL
  • Country
    United States
  • Address
    777 GLADES RD
  • Postal Code
    334316424
  • Phone Number
    5612970777

Investigators

  • First Name
    Xingan
  • Last Name
    Kan
  • Email Address
    kanx@fau.edu
  • Start Date
    6/12/2023 12:00:00 AM

Program Element

  • Text
    CIS-Civil Infrastructure Syst
  • Code
    1631
  • Text
    ERI-Eng. Research Initiation

Program Reference

  • Text
    INFRASTRUCTURE SYSTEMS MGT
  • Text
    RESEARCH INITIATION AWARD
  • Code
    9264