Abstract:After the commissioning phase Ⅰ container terminal renovation project in Luojing port area of Shanghai Port（abbreviation：phase I renovation project in Luojing）,the traffic congestion at the intersection of the quay front and approach bridge has become a bottleneck restricting the improvement of wharf operational efficiency.To effectively improve this situation,a traffic organization optimization plan is proposed and its optimization effect is verified using system simulation methods.Taking the transportation within the port as the core research object,based on the wharf layout,vehicle driving rules,and traffic flow path planning,a traffic simulation model for the wharf front approach bridges of phase I renovation project in Luojing is constructed.By simulating the operation process of AIV (automated intelligent vehicle) during the peak operation period at the wharf,key indicators such as intersection delay time,quay crane efficiency and utilization rate,and AIV cycle time are statistically analyzed to conduct a quantitative comparative analysis of different traffic organization schemes.The research shows that compared with the current operational scheme of the terminal,the optimized traffic organization scheme demonstrates remarkable effectiveness in reducing traffic conflicts and enhancing the efficiency of quay cranes.Moreover,as the number of AIV deployed increases,the advantages of this optimized scheme become even more prominent,providing strong support for improving the overall operational efficiency of the terminal.
