• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar
  • Home page
  • People
    • Dr. Swaroop Darbha
    • PhD Students
    • Master’s Students
    • Former Students
  • Publications
    • Publications
    • Referred Book Chapters
    • Selected Reports on Transportation Systems and Autonomous Vehicles
  • Research Areas
  • Contact Us

Systems, Control and Optimization Laboratory

This is the tagline

Texas A&M University College of Engineering

Research Areas

Summary

  • Advanced Vehicle Control and Safety Systems: Modeling, Control, and Diagnostics of Vehicular Subsystems
  • Connected, Autonomous and Semi-Autonomous Ground Vehicles: Automatic Vehicle and Lane Following Systems – String Stability and Information Flow, Effect on Traffic Flow Dynamics and Safety
  • Transportation Systems – Modeling, Effects of Information Infusion at different levels of Safety and Resilience
  • Control System Theory relevant to Transportation Systems – Decentralized and Fixed-Structure Control for Large Scale Systems
  • Unmanned Vehicles – Routing and Autonomy enabling Decision-making under Uncertainty, Human-in-the-Loop Systems.

Advanced Vehicle Control and Safety Systems

Connected, Autonomous and Semi-Autonomous Ground Vehicles

This research area deals with the simulation of a combined lateral and longitudinal control for Emergency Lane Change (ELC) maneuvers for a convoy of Autonomous and Connected Vehicles (ACVs).

The concept of a platoon is to have a coordinated movement of a group of vehicles, with a lead vehicle, which can be autonomous or human-controller, and the rest is automated follower vehicles. Designing a decentralized robust controller for the vehicles is crucial in realizing this, as it plays a direct role in ensuring the safety of the platoon.

A simulation of this is created using TORCS (Figure 2), an open-source simulator, to prove the stability of the controller by showing the prevention of amplification of the cross-track errors as one traverses down the string.

 

Transportation Systems – Modeling, Information Infusion, Safety and Resilience

Control System Theory relevant to Transportation Systems

Unmanned Vehicles

© 2016–2023 Systems, Control and Optimization Laboratory Log in

Texas A&M Engineering Experiment Station Logo
  • Email Us
  • College of Engineering
  • Department of Mechanical Engineering
  • State of Texas
  • Open Records
  • Risk, Fraud & Misconduct Hotline
  • Statewide Search
  • Site Links & Policies
  • Accommodations
  • Environmental Health, Safety & Security
  • Employment