Abstract:To address issues such as low efficiency,insufficient intelligent scheduling,and poor system compatibility in horizontal transportation at port terminals,a horizontal transportation management system is developed for smart port operations,aiming to establish an efficient scheduling framework with intelligent dispatching,autonomous decision-making,and multi-database compatibility.Driven by national policies and the urgent need for digital transformation in the port industry,a collaborative architecture of “vehicle-road-cloud-network” is proposed to enhance operational quality and efficiency.Key technical challenges in data interaction,platform compatibility,and scheduling performance are solved through standardized data model design,localized map data processing,development of optimized scheduling and routing algorithms,and database-independent adaptation.The system integrates real-time dynamic routing algorithms,multi-constraint scheduling models,and FMS compatible data interfaces.Practical application demonstrates that this solution can effectively improve operational efficiency and reduce operating costs.With strong intelligence,modularity,and scalability,the system provides a replicable and promotable technological path that supports the automation and intelligent upgrading of ports and enhances the international competitiveness of port enterprises.