Additive Feedback Control of Automated Vehicles for Smoothing Mixed Traffic Flow
A class of additive feedback controllers lets a minority of automated vehicles damp backward-propagating stop-and-go waves in mixed human/automated traffic using only locally sensed inter-vehicle spacing and relative speed, with no assumption of equilibrium traffic speed and no vehicle-to-vehicle communication. The controlled vehicle tracks a smoothed virtual version of its predecessor's speed with finite-time convergence and car-following safety, and an iterative optimization procedure selects the control parameters that best reduce traffic oscillations and fuel consumption.
SMOOTHING TRAFFIC FLOW THROUGH AUTOMATED VEHICLE CONTROL WITH OPTIMAL PARAMETER SELECTION Shian
This paper synthesizes a class of additive feedback controllers for a small fraction of automated vehicles (AVs) mixed into human-driven traffic, so that those AVs damp stop-and-go waves and smooth t…