The Ximantis Algorithm

From the very beginning our Algorithm was designed with the individual driver in mind. Instead of designing based on the traditional road sensor input, we chose to build our model on a moving platform: a vehicle along with its close proximity moving neighbors. We came up with a quite elegant solution to a very complex problem, worthy of scientific publications, a filing with the patent office and the eventual creation of Ximantis.

Due to the particular architecture, our technology can have a global focus, a local focus or both. The global focus managed by our cloud infrastructure through the Ximantis App and deals with navigation for an entire trip destined for Connected Cars and human drivers. The local focus is managed through the SRM navigation module, self-contained part and parcel of an Autonomous vehicle's software. It deals with road-space specific steering angles for effective Autonomous vehicle navigation.

Lastly, combining AI / Machine Learning with our stochastic algorithm we are able to completely resolve local vehicle interactions and forecast an optimal driving strategy. While designed for increased travel time efficiencies and accident avoidance, our Algorithm through the Ximantis Cloud Platform and the SRM combination makes for an intuitive partner in the current technology revolution with Connected Cars, Autonomous Vehicles and ADAS.

Stochastic Re-construction Module

Another innovative solution by Ximantis, it allows the option to engage the predictive powers of our algorithm towards the local environment around an Autonomous Vehicle for its precise navigation.

The AI / Machine Learning augmented Stochastic Re-construction Module or SRM is an Intelligent, Anticipation-based, navigation platform for Autonomous Vehicles, built upon our patent-pending technology. Its key characteristic element is Anticipation. It differentiates Ximantis from the whole block of current competitors and other hopefuls in this arena.

The Ximantis SRM minimizes uncertainty by anticipating eminent risk. Stochastically analyzes and reconstructs in real time the present and future dynamics of the local traffic environment. This innovation allows precise navigation based on Safety and Efficiency so you can relax and enjoy the journey.


Fine Granularity

Exceptional ability to analyze and forecast the resulting motion for every single vehicle on the road.

2% of Data Threshold

Reliable results with as little as 2% of data from the actual traffic flow during model Training.

Scalable Parallelization

The algorithm is empowered to handle extreme traffic data loads in real time.

SMART INNOVATIONS – Intelligent Traffic Solutions

Automatic Traffic Counting Intelligent Traffic Counting combining sources (GPS, Traffic Video Cameras, etc.)
Intelligent Auction Agent Real time responsive auction agent to meet demand opportunities!
Taxi Demand Optimization Move your Fleet to the best locations to meet real time customer demand!
Dynamic Parking Pricing Based on XIMANTIS forecasted space demand!
Accurate Travel-Times High Precision Forecasting for Connected Cars and Individual Users!
AI augmentation with Stochastic Model Dynamic
Look-Ahead Value Gothenburg, Sweden MVP Trials - 99% Forcasting Accuracy on Future Traffic!
M2M functionality for Navigation Control For Autonomous Vehicles / Driver Assistance Technologies
Departure Timer Analyser for the Optimum Departure Time
Accurate ETA Forecaster Real time processing of GPS / Traffic Camera Data, Traffic Control Reports, User Live Network Input, Weather reports!