An Improved Multi-Object Adaptive Cruise Control Approach

A supervised Actor-Critic approach for adaptive cruise control

A novel supervised Actor–Critic (SAC) approach for adaptive cruise control (ACC) problem is proposed in this paper. The key elements required by the SAC algorithm namely Actor and Critic, are approximated by feed-forward neural networks respectively. The output of Actor and the state are input to Critic to approximate the performance index function. A Lyapunov stability analysis approach has be...

An adaptive cruise control for connected energy-saving electric vehicles

We present an energy-saving cooperative adaptive cruise control (eco-CACC), which minimizes the energy consumption of autonomous electric vehicles. The approach leverages a trajectory preview from the preceding vehicle, and conciliates inter-vehicular distance reduction and speed profile smoothing. The problem is tackled with a nonlinear MPC approach. Rather than tracking a reference trajectory...

Vehicle Trajectory Impacts of Adaptive Cruise Control

Adaptive Cruise Control (ACC) is assumed to have a potential to improve quality-of-service and safety and to reduce the environmental impact of the road traffic system. This paper use vehicle trajectories from traffic simulation to study impacts of ACC on vehicle acceleration and deceleration rates. The analysis is based on traffic simulations with car-following models including ACC functionali...

Making adaptive cruise control (ACC) limits visibile

Previous studies have shown adaptive cruise control (ACC) can compromise driving safety when drivers do not understand how the ACC functions, suggesting that drivers need to be informed about the capabilities of this technology. This study applies ecological interface design (EID) to create a visual representation of ACC behavior, which is intended to promote appropriate reliance and support ef...

Developing Eco-adaptive Cruise Control Systems