Sen Fu

Suzhou Yaoteng Optoelectronics Co., Ltd.

Abstract：

Accelerated urbanization has driven a surge in traffic flow, exacerbating challenges such as chaotic intersection interactions and delayed violation alerts, thereby intensifying pressures on traffic order governance. Traditional control models are increasingly inadequate for meeting the demands of intelligent transportation development. The evolution of intelligent connected vehicle technology presents an opportunity for transforming traffic governance. As potential traffic interaction terminals, smart vehicle lights can fill the interaction blind spots of traditional signal systems through their light interaction capabilities. Current traditional vehicle light interactions suffer from limitations such as single-functionality and lack of coordination, failing to support refined traffic order management. Therefore, this paper focuses on the core demands of traffic order governance and the limitations of traditional vehicle light interaction models. It constructs an innovative intelligent vehicle light interaction model tailored to governance needs, explores the technical, institutional, and industrial talent support systems required for its implementation, and provides new pathways for enhancing traffic efficiency and optimizing governance outcomes. This research holds significant theoretical and practical implications for advancing the upgrade of intelligent traffic governance systems.

Key Words：

traffic order governance; intelligent vehicle lights; light interactio