Mireo developed an accurate AI-based EV range prediction model which could be used on virtually any EV vehicle with the same or higher range estimation accuracy compared to the benchmark Tesla technology.
The lack of charging infrastructure is the #1 contributor to EV drivers’ range anxiety, and accurate range prediction is the cornerstone of every EV trip. To mitigate EV range anxiety, machine learning algorithms help to enhance prediction accuracy and yield far more consistent results than traditional physics-based modeling.
None of the physical-based EV range predictions can consistently provide accurate results. An intelligent vehicle system that learns one's driving pattern and fuses real-time car sensors can predict EV battery consumption more accurately.
The in-car EV range estimation is every now and then off by a stunning 20-30% across the board, not nearly accurate enough to make drivers feel safe.
Starting July 2022, every new car sold in the EU must have a built-in anti-speeding system. All new vehicle models must be fitted with Intelligent Speed Assistance systems and inform drivers in case of speeding.
Why do connected car data fail at monetization? The most valuable companies nowadays are already generating record-high revenues from big data, but connected car data monetization is not happening at the pace predicted by McKinsey's 2016 report.
The current cost structure of insurance companies is simply not sustainable anymore. The future of car insurance is in connected car data analytics.
With Tesla offering real-time usage-based insurance, can we expect a major shift in the car insurance industry? The car insurance market has been heating up for hears, and the transformation towards telematics-based insurance is inevitable and cannot be avoided nor prolonged anymore.
Mireo SpaceTime outperforms GeoMesa in all performed benchmarks by giving response times in a range of seconds, unlike GeoMesa that requires minutes, shows Ericsson’s study. Mireo SpaceTime excels when executing different types of queries (spatial, temporal, and spatio-temporal).
How well do you know traffic patterns in your city? We present traffic patterns across 3 central bridges in Zagreb, explaining the traffic jams in detail and revealing the slowest bridge. This article is part two of our traffic analysis across the three main Zagreb bridges - The fastest bridge in Zagreb.
