Proposal of big data route selection methods for autonomous vehicles

被引：7
|
作者：
Reddig, Klaudia [1 ]
Dikunow, Blazej [2 ]
Krzykowska, Karolina [2 ]
机构：
[1] Warsaw Sch Econ, Warsaw, Poland
[2] Warsaw Univ Technol, Fac Transport, Warsaw, Poland
来源：
INTERNET TECHNOLOGY LETTERS | 2018年 / 1卷 / 05期
关键词：
autonomous vehicles; big data; Kafka; optimal route; Spark;
D O I：
10.1002/itl2.36
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
The automotive industry is developing rapidly, mainly in the direction of automation. Automation means constructing self-driving vehicles that will not need any human assistance. This would not only rise the comfort of travel but most of all it would allow to minimize congestions and reduce car accidents. In this paper, we propose a solution for self-driving vehicles' development based on big data Kafka and Spark architectures that would enable to gather large quantities of diversified data in real-time. This, in turn would allow the future cars to make fast, autonomous decisions concerning optimal route selection.
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收藏
页数：6
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