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Road freight is an important component of urban economy and life. Scientific and reasonable freight planning and management can effectively improve freight efficiency, and freight traffic models are an important method for assisting planning and management. Based on land use, Internet, checkpoint, truck GPS data, highway gantry and toll station data, this paper proposes a complete method for constructing a road freight traffic model for Guangzhou. The method utilizes land use and POI data to construct a traffic zone, generates an initial matrix by integrating land use area and truck GPS data, and uses multi-source data as observation points to correct the OD matrix, The constructed model can truly reflect and reproduce the demand and distribution of road freight traffic in cities. Finally, the application of the model is illustrated by a truck restriction assessment in Nansha. The technical methods can be promoted and applied to other cities, enabling quantitative analysis of road freight transportation, which is beneficial for traffic management departments to scientifically plan freight transportation stations and formulate truck traffic management policies.

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Research on the Construction Method of Road Freight Transport Model Based on Big Data – Taking Guangzhou as an Example

  • 会议论文

  • 发表日期：

    2026年

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  • Zheng Shujian,
  • Chen Haiwei,
  • Xu shiwei,
  • Wang Xuan

摘要

Road freight is an important component of urban economy and life. Scientific and reasonable freight planning and management can effectively improve freight efficiency, and freight traffic models are an important method for assisting planning and management. Based on land use, Internet, checkpoint, truck GPS data, highway gantry and toll station data, this paper proposes a complete method for constructing a road freight traffic model for Guangzhou. The method utilizes land use and POI data to construct a traffic zone, generates an initial matrix by integrating land use area and truck GPS data, and uses multi-source data as observation points to correct the OD matrix, The constructed model can truly reflect and reproduce the demand and distribution of road freight traffic in cities. Finally, the application of the model is illustrated by a truck restriction assessment in Nansha. The technical methods can be promoted and applied to other cities, enabling quantitative analysis of road freight transportation, which is beneficial for traffic management departments to scientifically plan freight transportation stations and formulate truck traffic management policies.