53 citations · 87 across the 12 of their papers we have counts for
12 papers
Mitigating Degradation Attacks in Cooperative Autonomous Driving via Intention Sharing: A Vehicle-in-the-Loop Study
Prakhar Gupta, Tyler Ard, Rongyao Wang +4
Communication delays induced by cyber attacks present a critical challenge to the safe operation of connected autonomous driving. This study investigates the use of intention shari…
Energy Efficient Automated Driving as a GNEP: Vehicle-in-the-loop Experiments
Viranjan Bhattacharyya, Tyler Ard, Rongyao Wang +3
In this paper, a multi-agent motion planning problem is studied aiming to minimize energy consumption of connected automated vehicles (CAVs) in lane change scenarios. We model this…
Automated Lane Change via Adaptive Interactive MPC: Human-in-the-Loop Experiments
Viranjan Bhattacharyya, Ardalan Vahidi
This article presents a new optimal control-based interactive motion planning algorithm for an autonomous vehicle interacting with a human-driven vehicle. The ego vehicle solves a…
Energy-Efficient Driving in Connected Corridors via Minimum Principle Control: Vehicle-in-the-Loop Experimental Verification in Mixed Fleets
Tyler Ard, Longxiang Guo, Jihun Han +3
Connected and automated vehicles (CAVs) can plan and actuate control that explicitly considers performance, system safety, and actuation constraints in a manner more efficient than…
Automated Vehicle Highway Merging: Motion Planning via Adaptive Interactive Mixed-Integer MPC
Viranjan Bhattacharyya, Ardalan Vahidi
A new motion planning framework for automated highway merging is presented in this paper. To plan the merge and predict the motion of the neighboring vehicle, the ego automated veh…
Energy-efficient Reactive and Predictive Connected Cruise Control
Minghao Shen, R. Austin Dollar, Tamas G. Molnar +3
In this paper, we propose a framework for the longitudinal control of connected and automated vehicles traveling in mixed traffic consisting of connected and non-connected human-dr…
Considerate and Cooperative Model Predictive Control for Energy-Efficient Truck Platooning of Heterogeneous Fleets
Tyler Ard, Bibin Pattel, Ardalan Vahidi +1
Connectivity-enabled automation of distributed control systems allow for better anticipation of system disturbances and better prediction of the effects of actuator limitations on…
Energy and Flow Effects of Optimal Automated Driving in Mixed Traffic: Vehicle-in-the-Loop Experimental Results
Tyler Ard, Longxiang Guo, Robert Austin Dollar +5
This paper experimentally demonstrates the effectiveness of an anticipative car-following algorithm in reducing energy use of gasoline engine and electric Connected and Automated V…
Multi-Intersection Traffic Management for Autonomous Vehicles via Distributed Mixed Integer Linear Programming
Faraz Ashtiani, S. Alireza Fayazi, Ardalan Vahidi
This paper extends our previous work in [1],[2], on optimal scheduling of autonomous vehicle arrivals at intersections, from one to a grid of intersections. A scalable distributed…
Experimental Modeling of Cyclists Fatigue and Recovery Dynamics Enabling Optimal Pacing in a Time Trial
Faraz Ashtiani, Vijay Sarthy M Sreedhara, Ardalan Vahidi +2
Improving a cyclist performance during a time-trial effort has been a challenge for sport scientists for several decades. There has been a lot of work on understanding the physiolo…
Optimal Pacing of a Cyclist in a Time Trial Based on Individualized Models of Fatigue and Recovery
Faraz Ashtiani, Vijay Sarthy M Sreedhara, Ardalan Vahidi +2
This paper formulates optimal pacing of a cyclist on hilly terrain time-trials as a minimum-time optimal control problem. Maximal power of a cyclist serves as a time-varying constr…
Microsimulation of Energy and Flow Effects from Optimal Automated Driving in Mixed Traffic
Tyler Ard, Robert Austin Dollar, Ardalan Vahidi +2
This paper studies the energy and traffic impact of a proposed Anticipative Cruise Controller in a PTV VISSIM microsimulation environment. We dissect our controller into two parts:…