Proposal of big data route selection methods for autonomous vehicles

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.