Stratio bringing impact A.I., advanced data to vehicle industry
Aiming to solve this important industry gap, Stratio Automotive built an automotive-grade equipment, compatible with all the different vehicle communication protocols, which collects in real-time
Stratio Automotive is setting up projects with OEMs and Coachbuilders, helping them leverage the impact artificial intelligence and advanced data engineering have on their overall company performance.
Almost all heavy-duty vehicle systems are electronically controlled nowadays. These systems generate data, which allows for their condition and the condition of the vehicle to be measured in real-time. As of today, vehicles are subjected to extensive testing while in development, but once they leave the factory few data is collected and used, and this is when vehicle data becomes the most important, as it allows an exact analysis of the behavior of the vehicle and its different systems and components in different geographies, under different usage patterns, and operational environments.
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Aiming to solve this important industry gap, Stratio Automotive built an automotive-grade equipment, compatible with all the different vehicle communication protocols, which collects in real-time, from operating commercial vehicles, an unparallel amount of data from all its sensors, in the different systems: motor, gearbox, transmission, brakes, suspension, climate, doors, etc. Over 250,000 unique data points are collected per vehicle, per day.
Proprietary artificial intelligence algorithms are then used to work the vehicle sensor data, and extract predictions — measuring and benchmarking components' performance, and detecting wear and faults before they happen.
Stratio works with vehicle manufacturers, as a technology arm for Artificial Intelligence development, to solve engineering challenges — system and components performance and benchmark — and enable manufacturers to explore new warranty and customer relationship opportunities.
“Stratio’s Artificial Intelligence supports manufacturers in their task to create increasingly predictable and reliable vehicles. Offering clear advantages for their customers with increased uptime and operational predictability,” said Ricardo Margalho, Stratio’s CEO.
A major goal of the pilot, which begins in April, is to test the speed, functionality, and durability of new handheld devices to scan Ventra and paper tickets.
Traditionally, bus lane enforcement has relied on manual processes carried out by transit police or parking enforcement officers. While it may be effective in certain municipalities, this approach is resource-intensive and very difficult to sustain.
A phased approach to technology, in-house capabilities, and workforce investment is helping transportation leaders break the reactive cycle and build more resilient, revenue-focused operations.
The landmark event empowers riders across six agencies in the Puget Sound region to tap-and-ride transit using a contactless credit or debit card or a mobile wallet.
Now in its latest edition, the awards recognize forward-thinking solutions that improve safety, operational efficiency, sustainability, rider experience, and overall system performance.
Menard discusses how data-driven signal prioritization is improving efficiency, reliability, and ridership, while offering insight into the innovations driving the next generation of smart mobility. Together, they explore how technology and collaboration are paving the way for a more connected, sustainable future in transit.
The pilot program showcases two companies’ technology at eight bus stops. The companies submitted their ideas through the Transit Tech Lab, which is backed by the Partnership Fund for New York City and provides an accelerated pathway for early to growth-stage companies to solve public transportation challenges for the largest transit agencies in North America.
