The transportation sector is now being revolutionized by the emergence of new technologies, such as electrification, Big Data, Internet of Things (IoT), Artificial Intelligence (AI) and Analytics. Connected vehicles produce a massive flow of data from their sensors and connected systems. Real time processing of this data will enable predictive maintenance, proactive incident management, transportation planning, and enhanced traffic management, with major environmental, economic and social positive impacts.
Based on its successful experience in Finance, QuasarDB has developed TransDB, a highly resilient Time Series DataBase Management System (TSDBMS) that combines large scale storage and instant querying at both central (cloud) and edged (sensor) levels.
A prototype is running at one of the largest global Tier one suppliers in the automotive industry.
The first part of the project alowed us to identify the different types of customers (described below), benefits for them (such as more efficient operations and more customers), for the Society (safer, faster transportation for all) and for the company itself ( resulting in profitable company with more than 40 new employees within 5 years)