物流供需辨识与预测信息数据集

物流供需辨识与预测数据集主要面向物流供需分析与预测研究，为实现供应和需求两类数据的准确分析和精准预测而建设。
该数据集中的数据来源于我国最大的公路物流互联网信息平台，包含同一时间段（2018年1月）内的供应和需求两类数据。第一类供应数据为该时间段内平台上全国范围的货车轨迹数据。每条数据记录了货车司机ID、时间和经纬度等观测值。第二类需求数据为该时间段内平台上全国范围的货单数据。每条数涵盖了货车司机ID、货物类型、货车类型等观测值。

The Logistics Supply-Demand Identification and Prediction Dataset is primarily developed for logistics supply-demand analysis and prediction research, and is constructed to enable accurate analysis and precise forecasting of both supply and demand data. The data in this dataset is sourced from the largest highway logistics internet information platform in China, and includes two types of data, supply and demand, collected in January 2018. The first type, supply data, consists of nationwide truck trajectory data on the platform during this period. Each record contains observation values such as truck driver ID, timestamp, and latitude and longitude. The second type, demand data, comprises nationwide waybill data on the platform during the same period. Each record includes observation values such as truck driver ID, cargo type, and truck type.

搜集汇总

背景与挑战

背景概述

该数据集专注于物流供需的分析与预测研究，数据源自国内主要公路物流互联网平台，涵盖了2018年1月期间的供应数据（货车轨迹）和需求数据（货单）。它旨在支持对物流供应和需求的准确分析和精准预测。