Mireo Blog

The evolving landscape of the automotive industry has opened up a plethora of opportunities to enhance vehicle performance and customer experience.

As our vehicles become increasingly intelligent, the technologies that power them continue to evolve at a rapid pace. A prime example of this evolution is the ADAS.

In an era defined by rapid technological evolution, the importance of robust and adaptable R&D operations has never been more vital.

As car manufacturers navigate through rapidly evolving technological landscapes and increasing market competition, the strategic use of historical data has become more crucial than ever.

The mounting challenge in the automotive industry is analyzing and leveraging vast amounts of data to effectively enhance ADAS functionalities.

In a rapidly evolving automotive industry, proactive maintenance and efficient vehicle management have become more important than ever.

The automotive landscape is undergoing a seismic shift with EVs at its epicenter – propelled by the urgent need for sustainability and innovation.

Traditional methods of risk assessment in auto insurance fall short of addressing the dynamic nature of driving behaviors and environmental factors.

The automotive industry is in a state of rapid transformation and demands placed on R&D departments have never been greater.

Performance optimization has emerged as a critical factor in automotive research and development.

Users seek personalized experiences that cater to their unique preferences and driving habits.

SpaceTime can be used to upgrade modern fleets and simplify the work of fleet managers.

The evolution from traditional to predictive maintenance marks a significant leap for automotive manufacturing.

With its advanced data-driven capabilities, SpaceTime is a becoming an important asset in the optimization of EV battery charging cycles.

The ability to effectively tailor vehicle performance to various international markets is not just an advantage – it's a necessity.

SpaceTime is helping OEMs to transform ADAS – making the journey not just about reaching a destination, but doing so with unprecedented safety and intelligence.

Advanced capabilities of in-car emergency response systems are not just beneficial, but also life-saving.

The automotive industry is witnessing a transformative shift towards EVs, and SpaceTime is becoming an analytics backbone for optimizing these next-gen vehicles.

The race to reduce time-to-market is intensifying – and in this race, the integration of advanced analytics into existing vehicle development processes is key.

SpaceTime proved to be a significant enhancement to OEMs' existing data gathering and analysis capabilities – gathering concrete insights that can be used to refine suspension system designs.

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.

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.

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.

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.

The built-in GPS is already a mandatory feature in new EU cars, and with ISA regulative approaching, it's reasonable to expect new cars to be equipped with embedded GPS navigation. Starting from 2022, the Intelligent Speed Assistance ISA will be mandatory for all new EU cars introduced on the market and from July 2024 for all new cars sold in the EU.

Despite 13% fewer miles driven in 2020, traffic fatalities in the U.S. went up by 8%! Contrary, road fatalities in the EU plummeted by 17%, reaching the record low numbers. Can telematics explain such discrepancy and help to increase road safety?

Telematics is what’s shifting the insurers’ discriminating models from socio-economic and non-driving factors towards precise claim risk factors. Currently, insurer's proprietary premium pricing models rely on a myriad of more or less non-driving and discriminating factors, such as are age, sex, skin color, ethnicity, etc.

The true smart cities of the future will be the ones pioneering extracting the value from the data in enhancing living conditions and taking care of the environment. By leveraging tools that analyze various traffic patterns and through a series of centralized digitalized services, city authorities can significantly improve the quality of life and mobility.

People today are not buying as many new cars as they used to, which is why the car OEMs decided to shift their focus from selling cars – to selling mobility. We examine what the future of transport and mobility will look like, as well as the problems car OEMs might find along the way.

Range anxiety is still a widespread issue among EV owners and the ones looking to switch to EV. We leveraged machine learning to mitigate the problem and reassure drivers on exactly how much range they’ve got left, and learned quite a bit in the process.

The embedded navigation has never been more relevant, and there is a strong upward trend in embedding navigation in modern vehicles. The future is very bright for the embedded navigation and the various ways it will enhance driver experience, safety, and environmental aspects of transportation.

It's no secret that the motorists slow down when approaching the speed cameras, only to speed up just after passing them. Using highly advanced telematics driven-data Mireo offers another aspect on reviewing and improving speed camera placement to improve safety benefits of the speed cameras.

Mireo Compact Maps is functionally equivalent to the open-source suite MapTiler + Nominatim + GraphHopper. The complete Compact Maps functionality is contained in a single, 12 MB dependency-free Linux executable. This blog post explains the details of the map services implementation in Compact Maps.

Mireo SpaceTime technology help insurers to make at least the first step in telematics transformation correctly. Mireo SpaceTime completely hides the complexity of data acquisition, filtering, contextualization, and presentation from data analysts. It allows them to focus on developing risk models using tools and concepts they are already familiar with

With prices soaring, India is no longer a mobile data wonderland. The Jio's effect and the era of unsustainable low tariffs have ended. Israel is the new leader in the world of affordable mobile plans.

High accuracy congestion charging using GPS telematics data

How a China bank uses GPS tracking data to assess factory's financial health?

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.

Is driving 80+ km/h on the Rijeka bypass hearsay or a fact? To question this statement, we decided to measure how fast real-world vehicles actually drive.

Can we use vehicle GPS tracking data to figure out whether a new bridge would help reduce congestions? Here's an interesting qualitative analysis of commuting patterns over the existing Zagreb bridges.

Using Mireo SpaceTime Roadway Analytics, we've detected the infamous Zagreb speeding hotspots, specifically the ones in which drivers speed more than 30 km/h above the posted speed limits.

In Mireo, we value the quality of code and performance more than releasing stuff fast. Services we write are supposed to run forever.

Do you become a rally driver when the streets are empty? Analyzing GPS traces of 600.000 vehicles, we measured how likely drivers are to speed.

We present the Big Data movement analysis of 600.000+ vehicles driven throughout Italy, generated by using proprietary SpaceTime technology.

If your navigation software runs nice and smooth on a device type A, it doesn't mean that it will run equally smooth on the device type B with the same OS.

Public transport security solutions with an emphasis on the panic button and GNSS tracking.

Pros and cons of GPS congestion pricing comparing to tolling gantries according to principles of efficient congestion pricing.

On WWDC 2018 Apple announced third-party applications will be added to CarPlay; with a billion compatible devices on the market CarPlay was the way to go.

A high-speed, moving objects database provides remarkable analytical tools speed, sometimes outperforming other solutions by three orders of magnitude.

Governments and institutions are considering using Big Data analysis to combat the spread of the COVID-19 virus infection.

We take projections of the GPS position to the all nearby roads and intersections and consider them candidates for the actual (real-life) position.

We developed an AI which learns your driving patterns and can accurately predict your next destination based on current situation.

We questioned the credibility of posted speed limits using Big Data Analysis built in SpaceTime. We identified locations where...

To get the results, an SQL query must be parsed, validated, planned, optimized, and finally executed on a query engine. Apache Calcite can help with that.

How to perform real-time processing when data ingestion rates are measured in millions of entries per second?

We built a distributed storage engine capable of storing and indexing trillions of entries and optimized a way of querying spatiotemporal data.

Map matching is a process of matching received vehicle coordinates with most likely road segment of a digital road map.

Storing and analyzing a large amount of spatiotemporal real-time data requires special treatment in choosing data structures and query algorithms.

The process, in a nutshell, is quite simple – GPS receiver in your mobile phone gets radio signals from GPS satellites in the space.

I know you haven't had an accident in 15 years. That's why we're raising your rates. Because you're about due one. (Jantoo Cartoons)

One of the greatest barriers to the adoption of electric vehicles (EVs) is range anxiety. Electric vehicles have a limited range and long charging times...

Stuck in a traffic jam is not an excuse. It's a sign of bad planning. It's something to think about it, for sure.