Research Article
Real-Time Detection of Vehicle-Based Logistics Operations
@INPROCEEDINGS{10.1007/978-3-030-97603-3_14, author={Joel Ribeiro and Jorge Tavares and T\~{a}nia Fontes}, title={Real-Time Detection of Vehicle-Based Logistics Operations}, proceedings={Intelligent Transport Systems. 5th EAI International Conference, INTSYS 2021, Virtual Event, November 24-26, 2021, Proceedings}, proceedings_a={INTSYS}, year={2022}, month={3}, keywords={Geolocation data Event detection Logistics operations}, doi={10.1007/978-3-030-97603-3_14} }- Joel Ribeiro
Jorge Tavares
Tânia Fontes
Year: 2022
Real-Time Detection of Vehicle-Based Logistics Operations
INTSYS
Springer
DOI: 10.1007/978-3-030-97603-3_14
Abstract
Geolocation data is fundamental to businesses relying on vehicles such as logistics and transportation. With the advance of the technology, collecting geolocation data become increasingly accessible and affordable, which raised new opportunities for business intelligence. This paper addresses the application of geolocation data for monitoring logistics processes, namely for detecting vehicle-based operations in real time. A stream of geolocation entries is used for inferring stationary events. Data from an international logistics company is used as a case study, in which operations of loading/unloading of goods are not only identified but also quantified. The results of the case study demonstrate the effectiveness of the solution, showing that logistics operations can be inferred from geolocation data. Further meaningful information may be extracted from these inferred operations using process mining techniques.
