A Micro-Simulation Framework for Studying CAVs Behavior and Control Utilizing a Traffic Simulator, Chassis Simulation, and a Shared Roadway Friction Database

The ability of connected and autonomous vehicles (CAVs) to share information such as road friction and geometry has the potential to improve the safety, capacity, and efficiency of roadway systems, and the study of these systems often necessitates synergistic investigation of the vehicle, traffic behavior, and road conditions. This paper presents a micro-simulation framework for studying CAVs behavior and control utilizing a traffic simulator, chassis simulation, and a shared roadway friction database. The simulation utilizes three levels of data representations: 1) a traffic representation that explains how vehicles interact with each other and follow location-specific rules of the road, 2) a vehicle dynamic representation of the Newtonian response of the vehicle to driver inputs interacting with the vehicle which in turn interacts with the pavement, and finally 3) a road surface representation that represents how friction of roadway changes with space and time. The interactions between these representations are mediated by a spatiotemporal database. The framework is demonstrated through a CAVs application example showing how the mapping of road friction enables advanced vehicle control by allowing the database-mediated preview of road friction. This framework extends readily to real-time implementation on actual CAVs systems, providing great potential for improving CAVs control performance and stability via database-mediated feedback systems, not only in simulation, but also in practice.

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Work Title A Micro-Simulation Framework for Studying CAVs Behavior and Control Utilizing a Traffic Simulator, Chassis Simulation, and a Shared Roadway Friction Database
Access
Open Access
Creators
  1. Liming Gao
  2. Srivenkata Satya Prasad Maddipatla
  3. Craig Beal
  4. Kshitij Jerath
  5. Cindy Chen
  6. Lorina Sinanaj
  7. Hossein Haeri
  8. Sean Brennan
License In Copyright (Rights Reserved)
Work Type Article
Publisher
  1. IEEE
Publication Date May 25, 2021
Publisher Identifier (DOI)
  1. 10.23919/acc50511.2021.9483221
Source
  1. 2021 American Control Conference (ACC)
Deposited July 22, 2022

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  • Created
  • Added 2020_ACC_Gao_A Micro-simulation Framework_2021_03_22_finalSubmission_version-1.pdf
  • Added Creator Liming Gao
  • Added Creator Srivenkata Satya Prasad Maddipatla
  • Added Creator Craig Beal
  • Added Creator Kshitij Jerath
  • Added Creator Cindy Chen
  • Added Creator Lorina Sinanaj
  • Added Creator Hossein Haeri
  • Added Creator Sean Brennan
  • Published
  • Updated Work Title Show Changes
    Work Title
    • A Micro-Simulation Framework for Studying CAVs Behavior and Control Utilizing a Traffic Simulator, Chassis Simulation, and a Shared Roadway Friction Database
    • ! A Micro-Simulation Framework for Studying CAVs Behavior and Control Utilizing a Traffic Simulator, Chassis Simulation, and a Shared Roadway Friction Database
  • Updated Work Title Show Changes
    Work Title
    • ! A Micro-Simulation Framework for Studying CAVs Behavior and Control Utilizing a Traffic Simulator, Chassis Simulation, and a Shared Roadway Friction Database
    • A Micro-Simulation Framework for Studying CAVs Behavior and Control Utilizing a Traffic Simulator, Chassis Simulation, and a Shared Roadway Friction Database
  • Updated