Optimal Control Design for Traffic Flow Maximization Based on Data-Driven Modeling Method

This paper proposes enhanced prediction and control design methods for improving traffic flow with human-driven automated vehicles. To achieve accurate the entire time horizon, data-driven model-based were integrated. The goal of integration was to accurately predict outflow network, which selected as highway section in this paper. proposed novel method used optimal calculating controlled inflows on ramps. reach maximum even against disturbances uncontrolled network. leads an optimization problem based min–max principle, i.e., is considered be maximized by minimized inflows. effectiveness through simulation examples are illustrated, can system under various inflow values.