Big Data for Operational Efficiency of Transport and Logistics : A Review

被引:0
|
作者
Borgi, Tawfik [1 ]
Zoghlami, Nesrine [1 ]
Abed, Mourad [2 ]
Naceur, Mohamed Saber [1 ]
机构
[1] Univ Tunis El Manar, Ecole Natl Ingenieurs Tunis, LTSIRS Lab, Tunis 1002, Tunisia
[2] Univ Valenciennes & Hainaut Cambresis, LAMIH, F-59313 Valenciennes 9, France
来源
2017 6TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED LOGISTICS AND TRANSPORT (ICALT) | 2017年
关键词
Big Data; Transport; Logistics;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In the new information and communication era, digital transformation and adoption of recent technological advances have become a must for all transport and logistics providers who aim to significantly improve their activities. Consequently, this digitalization is inevitably giving birth to voluminous and rapidly growing sets of large-scale data generated from heterogeneous data sources, also known as Big Data. With particular management infrastructures and advanced data analysis methodologies, these huge amounts of data can be efficiently harvested to optimize the logistics and transport operations and provide a higher quality of service. This paper provides a review of the application of Big Data technologies in improving the operational efficiency of transport and logistics, exposes the main use cases and identifies some future research challenges.
引用
收藏
页码:113 / 120
页数:8
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