Ximantis introduces predictive stochastic software for connected and autonomous Vehicles


Ximantis, a Swedish startup that has become a leader in traffic data management and analysis, has announced its entry to the autonomous vehicles and advanced driver assistance systems (ADAS) software platform market with the introduction of its Stochastic Re-construction module.

The new Ximantis module, in direct communication with the vehicle’s software, can integrate any number of available data sources and completely resolve, in real time, local vehicle interactions. Stochastic Re-construction minimizes uncertainty and eminent risk by anticipating moves and reacting immediately. Ximantis created this effective algorithm based on its patent-pending process that can independently forecast traffic events more than 30 minutes into the future. The company says it is breaking new ground by expanding its predictive model to seamlessly manage multifaceted M2M (machine-to-machine) vehicular traffic behaviors encompassing efficiency, safety, and simplicity.

Founded in 2014, the company’s early research was on planetary weather forecasting, stock market-type stochastic (random) models and traffic flow theory. With support from the Swedish Transport Administration (Traffikverket), the government funding agency Vinnova, Cybercom Group, LU Holding AB, and Lunarc, the company has successfully developed and commercialized its novel innovations in traffic flow through the Mantis-Module and Ximantis app, which both use the company’s algorithm to accurately forecast future road conditions using only real-time data, without the supplement of historical patterns or social networks.

The cars of today are becoming increasingly complex software-intensive machines, with lines of code exceeding many times those of even the space shuttle. The company’s approach is to decrease this complexity as a basis to the success of any project. Ximantis can demonstrate tangible benefits by incorporating the Stochastic Re-construction module technology to connected cars and autonomous vehicle software systems, where the vehicle’s traffic behavior/congestion navigation can be accurately resolved in real time, by predicting the movement of other vehicles in its environment, while avoiding accidents.

“I’m very happy to announce our innovative approach to autonomous driverless software systems with the Stochastic Re-construction module,” said Dr Alexandros Sopasakis (right), founder and CEO of Ximantis. “Our cutting-edge research advances technology in anticipating traffic patterns and providing intelligent traffic solutions, placing us at the forefront of the current technology revolution. A lot of companies announce mergers and acquisitions in the hopes of possibly creating new value in the future. At Ximantis, with US and foreign patents applied for, we have already tested this technology in actual traffic. We can demonstrate its value right now. So we seek to get the word out. Our technology can be implemented on many different platforms. As a next step, we are interested in pairing the module with other complementary technologies, and establish Ximantis as the important strategic partner in the field as it truly ought to be.”

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Tom has edited Traffic Technology International (TTi) magazine and its Traffic Technology Today website since May 2014. During his time at the title, he has interviewed some of the top transportation chiefs at public agencies around the world as well as CEOs of leading multinationals and ground-breaking start-ups. Tom's earlier career saw him working on some the UK's leading consumer magazine titles. He has a law degree from the London School of Economics (LSE).