Nowadays, there are many challenges for the logistics industry mainly with the integration of E-commerce and new sources of data such as smartphones, sensors, GPS and other devices. Those new data sources generate daily a huge quantity of unstructured data, to deal with such complex data, the use of big data analytic tools becomes an obligation. In this context, many works have been done recently in the integration of big data analytics in the logistics industry. In this paper, we propose to give a review of the latest applications of big data analytics in the field of logistics and transportation industry and to propose a novel approach to detect and recognize containers code based on a Hadoop big data analytics system.
Big data analytics for logistics and transportation
01.05.2015
1419237 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Intelligent logistics transportation vehicle and logistics transportation method
Europäisches Patentamt | 2024
|NTIS | 1987
|Intelligent logistics transportation vehicle and logistics transportation method
Europäisches Patentamt | 2025
|TIBKAT | 1987
Movement of Cargo, Logistics, Data, Data Analytics and Databases
Springer Verlag | 2022
|