Real-Time Detection of Vehicle-Based Logistics Operations

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Real-Time Detection of Vehicle-Based Logistics Operations

Ribeiro, Joel / Tavares, Jorge / Fontes, Tânia

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.

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Document information

Title :

Real-Time Detection of Vehicle-Based Logistics Operations

Additional title:

Lect.Notes Social.Inform.

Contributors:

Martins, Ana Lúcia (editor) / Ferreira, Joao C (editor) / Kocian, Alexander (editor) / Ribeiro, Joel (author) / Tavares, Jorge (author) / Fontes, Tânia (author)

Conference:

International Conference on Intelligent Transport Systems ; 2021 November 24, 2021 - November 26, 2021

Published in:

Intelligent Transport Systems ; Chapter : 14 ; 192-205

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ; 426

Publication date :

2022-03-12

Size :

14 pages

ISBN :

978-3-030-97603-3 , 978-3-030-97602-6

ISSN :