A Framework of an Integrated Livestock Vehicle Trajectory Database Using Digital Tachograph Data

Abstract

The outbreak of African swine fever virus has raised global concerns regarding epidemic livestock diseases. Therefore, various studies have attempted to prevent and monitor epidemic livestock diseases. Most of them have emphasized that integrated studies between the public health and transportation engineering are essential to prevent the livestock disease spread. However, it has been difficult to obtain big data related to the mobility of livestock-related vehicles. Thus, it is challenging to conduct research that comprehensively considers cargo vehicles’ movement carrying livestock and the spread of livestock infectious diseases. This study developed the framework for integrating the digital tachograph data (DTG) and trucks’ visit history of livestock facility data. The DTG data include commercial trucks’ coordinate information, but it excludes actual livestock-related vehicle trajectories such as freight types and facility visit history. Therefore, the integrated database we developed can be used as a significant resource for preventing the spread of livestock epidemics by pre-monitoring livestock transport vehicles’ movements. In future studies, epidemiological research on infectious diseases and livestock species will be able to conduct through the derived integrating database. Furthermore, the indicators of the spread of infectious diseases could be suggested based on both microscopic and macroscopic roadway networks to manage livestock epidemics.

Predicting Bus Travel Time in Cheonan City through Deep Learning Utilizing Digital Tachograph Data

“…M.-H. Jeong et al [4] proposed a model that utilized GRUs to consider historical traffic speed data and weather conditions for forecasting highway speeds. H. Jeong et al [5] suggested a data integration process that combined GPS data with other vehicle sensor data to create a vehicle trajectory database for livestock vehicles. Ahn and Shin.…”

“…The DTG data recorded by the DTG devices have proven to be invaluable for a wide range of applications. They enable the analysis of work conditions, facilitate the detection of road slipperiness, and aid in the development of representative driving cycles for delivery trucks, among various applications [4][5][6][7]. As a result, the DTG device has emerged as a crucial tool for ensuring the safety and efficiency of vehicle operations in South Korea.…”