This study explores the impact of electronic throttle control (ETC) on driver behavior and traffic dynamics using a lattice hydrodynamic model. The authors examine how ETC affects psychological density behavior and stability in traffic flow. They find that the electronic throttle coefficient increases the stable region for both high and low psychological headway, enhancing stability at low density due to better visibility and easier speed and position adjustments. Additionally, higher psychological density allows drivers more time to adjust without disrupting traffic, reducing the likelihood of sudden braking or erratic maneuvers. The findings suggest that optimizing ETC algorithms to account for both vehicle dynamics and driver psychology can improve traffic management and safety. The paper is structured into sections that introduce the model, perform linear and nonlinear stability analyses, derive the modified Korteweg de-Vries equation, present numerical simulations, and conclude with the results.This study explores the impact of electronic throttle control (ETC) on driver behavior and traffic dynamics using a lattice hydrodynamic model. The authors examine how ETC affects psychological density behavior and stability in traffic flow. They find that the electronic throttle coefficient increases the stable region for both high and low psychological headway, enhancing stability at low density due to better visibility and easier speed and position adjustments. Additionally, higher psychological density allows drivers more time to adjust without disrupting traffic, reducing the likelihood of sudden braking or erratic maneuvers. The findings suggest that optimizing ETC algorithms to account for both vehicle dynamics and driver psychology can improve traffic management and safety. The paper is structured into sections that introduce the model, perform linear and nonlinear stability analyses, derive the modified Korteweg de-Vries equation, present numerical simulations, and conclude with the results.