Improving the Reliability of Autonomous Vehicles in a Branded Service System Using Big Data

In the 4th industrial revolution era, the transport's role acquires a special role in organizing the functioning of large systems (production, logistics, service, etc.). Technical and technological changes (for example, the appearance of autonomous vehicles leads to a shift in emphasis and roles: the influence of the human factor is reduced and issues of increasing reliability and safety are of particular importance. Monitoring vehicle technical condition and its diagnostics are important during the operation phase, because this eliminates the possible failures causes and predicted the vehicle life cycle, as well as the define pre-failure conditions. Besides, the service organization problems are also relevant because the transport system security depends more and more on the vehicles technical condition, communications, and infrastructure facilities. The article proposes a possible solution to manage the service system by creating common information space that based on relevant information and the new analysis methods uses, can increase the transport system's efficiency and reliability as a whole. The structure of the decision support system is proposed. It includes modules for data collection, storage, data mining, decision-making and a user interface. To process the accumulated data, the use of OLAP technologies is proposed.