Analyzing the Operation of Road Cold Chain Transportation Using Big Data in the Context of Cost Reduction, Quality Improvement, and Efficiency Enhancement

2025-99-0303

12/17/2025

Authors
Abstract
Content
In recent years, the market size of cold chain transportation in China has been expanding, but the industry has problems such as low cold chain circulation rate, low efficiency, high damage rate, and high cost. Under the background of reducing costs and improving quality and efficiency in transportation and logistics, an index set for operational analysis covering average freight rates, daily average number of over-temperature alarm incidents, daily average driving distance, and daily average driving time was established from the perspectives of economic efficiency, quality, and efficiency. Based on data from a third-party platform, including vehicle trajectories, temperatures, speeds, and freight rates, the running situation of road cold chain transportation industry was analyzed. The analysis results show that in 2023, the average freight rate of China’s highway cold chain will rebound, the fluctuation range will significantly narrow, the standardization level of temperature control equipment will continue to improve, the over temperature alarm during transportation will be significantly improved, and the vehicle utilization efficiency and traffic efficiency will be improved.
Meta TagsDetails
Pages
6
Citation
Li, Sicong, Jing Ye, and Mengfei Cao, "Analyzing the Operation of Road Cold Chain Transportation Using Big Data in the Context of Cost Reduction, Quality Improvement, and Efficiency Enhancement," SAE Technical Paper 2025-99-0303, 2025-, https://doi.org/10.4271/2025-99-0303.
Additional Details
Publisher
Published
Dec 17, 2025
Product Code
2025-99-0303
Content Type
Technical Paper
Language
English