Analyzing psychological information using lattice hydrodynamic model coupled with electronic throttle control

Electronic throttle control (ETC), a mechanism for precise regulation of engine power and torque production, is a typical component in modern automobiles. Little research has been devoted to the impact of ETC on driver behaviour and traffic dynamics. Within the framework of lattice hydrodynamics modelling, this study proposes a novel analysis of the relationship between ETC and psychological density behaviour. We examined how psychological behaviour and electronic throttle affect the proposed model by analyzing stability. Additionally, we employed analysis to gain insights, into the dynamics of the density oscillation as it approaches the critical point ultimately resulting in a “kink antikink”. Numerically, it is found that the electronic throttle coefficient increases stable region for smaller as well as higher values of psychological headway for high density as well as low density, respectively. Because at low density drivers will have a better view of the road ahead, will be able to adjust their speed and position more easily and will have more time to react to any potential hazards, resulting in greater stability. Moreover, a larger psychological density allows drivers adequate time to adjust their speed and position without disrupting traffic or causing bottlenecks, reducing the likelihood of sudden braking or erratic manoeuvres. It is also noted that psychological density helps in reducing traffic congestion for any rate of ETC. Our findings illustrate the potential benefits of optimising ETC algorithms to account for both vehicle dynamics and driver psychology, which will eventually contribute to better traffic management and increased safety.