为解析港内物流通道区域路网交通的时空分布特征，探索高效的港内物流通道交通管理和优化方法，基于某港内货运集卡的真实运营和轨迹数据，对港内货运物流通道的交通状态识别与划分进行了研究。首先，应用H3网格对DBSCAN算法进行改进，构建了基于网格领域的区域交通状态时空矩阵，对案例港内货运路网区域进行识别划分。然后，结合港内船舶装卸作业生产特征，对造成港内物流区域瓶颈点进行分析总结。研究结果表明，案例港口码头前沿的装卸区域、堆场道路及与主干道交叉区域的交通状况尤为复杂，是影响港内运输效率的关键区域；在多船舶不同装卸作业场景下，同一装卸泊位对不同货运通道的制约力存在显著差异。研究可为识别和解析多船舶装卸作业场景下港口物流通道潜在“热点”区域及特征、探索缓解港内物流通道货运交通压力的措施及提升港口总体生产作业效率，提供新的思路和方法。

In order to analyze the spatial and temporal distribution characteristics of regional freight network in port, and efficiently manage and optimize the freight network traffic in port, the traffic state identification and division of freight network in the port were studied, based on real operation and trajectory data of freight container trucks in the case port. Firstly, the DBSCAN algorithm was improved based on H3 grid, and the traffic state in the grid field was used as a clustering index to construct a space-time matrix to identify and divide the freight network area in the port. Then, the bottleneck points of the freight network in the port were further investigated by combing with the production characteristics of ship handling in the port. It was found that the loading and unloading area at the front of the wharf, yard road, and intersection area with main roads were the key bottleneck points in the port area with complexity; Under different scenarios with multi-ship loading and unloading operations in the port, the same berth might restrict different freight corridors. This study could provide new ideas and methods for identifying and analyzing potential ′hot spots′ of port traffic network under different loading and unloading operation scenarios, exploring ways to alleviate the pressure of freight transportation in port freight network, and improving the overall production efficiency of ports.