为分析跨省跨区域货运情况,帮助行业管理部门更好地制定发展策略,用数据诠释有关政策的实施效果,基于高速公路通行大数据对跨区域货运分析建模技术进行研究。首先,根据高速公路通行数据的特点,设计了数据预处理流程,提出并实现了车辆轨迹追踪模型。然后,针对货车数据中货运量、货运周转量等关键指标,建立了高速公路主要指标统计模型对缺失数据进行补全,最大限度提高数据的契合度和准确度,生成各省高速公路货运信息以及省与省之间的货运交互信息。最后,将模型应用在宏观管理决策、运输量统计分析、车辆安全监管等方面,动态反映了各省之间高速公路货运交互规律,可为各级交通运输管理部门掌握高速公路货运情况、制定行业发展政策提供支撑。

In order to analyze cross-province and cross-regional freight transportation, help industry management departments better formulate development strategies, and use data to interpret the implementation effects of relevant policies, the cross-regional freight analysis modeling technology based on the big data of expressway traffic was developed. Firstly, according to the characteristics of expressway traffic data, the data preprocessing process was designed, and a vehicle trajectory tracking model was proposed. Then, for the key indicators including freight volume and freight turnover, a statistical model of expressway main indexes was established to complete missing data with higher fit and accuracy. And then the highway freight information of various provinces, as well as the freight interaction information between provinces was generated. Finally, the model was applied to macro-management decision-making, transportation volume statistical analysis, vehicle safety supervision and so on. It could dynamically reflect the law of expressway freight interaction among provinces, which could provide transportation management departments at all levels with support in grasping the situation of expressway freight and formulating industry development policies.