The Power of Standardized Telematics

The Power of Data and Telematics

Commercial fleets run on data. These fleets include a wide range of vehicle classes ranging from passenger cars, delivery vans, and heavy-duty trucks to construction equipment, and are owned and operated by a commercial entity instead of an individual.

As data drives their businesses, fleets have come to rely on and will increasingly require reliable, secure, high-quality data intelligence platforms. Data insights generated daily from connected vehicles are enabling fleet managers to make better decisions, delivering better outcomes for performance, cost, safety, sustainability, and more. Automotive manufacturers are establishing new revenue streams from their cloud data offerings with commercial fleets being a significant sector.

Industry Market Growth

The commercial vehicle telematics market size surpassed $33B USD in 2022 and is expected to grow 11% CAGR from 2023 to 2032 to $95B. This is being driven by a need for fleet management and operational efficiency including reduced fuel consumption, vehicle downtime, driving safety, productivity, and growing government mandates for commercial vehicle tracking and regulatory reporting.

The Challenge – Why Standards Matter

Fleet management requires sophisticated management and measurement. The industry is transitioning from sourcing this data with aftermarket telematics to OEM cloud solutions, or a combination of both. Fleets typically have mixed fleets consisting of multiple makes and models, including ICE and EVs and even different classes of vehicles. This creates significant complexity requiring advanced data integration systems.

OEM data is playing a bigger role in connected fleet management. Differences in data collected create challenges including the inability to sufficiently power advanced fleet management systems offered by telematics service providers.

The absence of a universally accepted standard data model increases the risk of adding more complexity to providing data insights for fleet management. This becomes a significant challenge as fleet management systems become more advanced and highly dependent on data quality.

Lack of an accepted standard, means complexity and requires non-value-added engineering to normalize data from different vehicles. This non-value-added cost presents significant barriers to efficient fleet management. In fact, one of the top threats cited to the successful growth of the telematics industry is the absence of a universally accepted standard.

Complexity of Integration is a Barrier to Utilizing the Value of Data

Simplifying Data Integration

COVESA is an open, collaborative, and impactful technology alliance; accelerating the full potential of connected vehicles dedicated to the creation of open standards and technologies. While the initial scope for the COVESA Commercial Vehicles (CV) activity is focused on the specific needs of commercial vehicle fleet operations, the conventions being developed will be usable by other industry verticals (insurance, maintenance, regulators, suppliers) and are already finding alignment with an electric vehicle data activity within COVESA. COVESA supports simplified data integration. The COVESA Vehicle Signal Specification (VSS) is becoming well established, seeing pronounced uptake and is well suited as the common data model to enable data exchanges for the industry and part of the proposed direction of this activity.

Mutual Benefit for All

Data management and measurement are complex, from data sampling, to the volume of data, integrity, and more. Access to data and complicated integration models create even more complexity causing an uneven playing field and adding barriers. Creating a Standard supports a simplified, and easier approach to data integration.

The benefits of this are passed through to OEMs, fleets, and organizations and include reduced costs of data collection as well as those associated with acquiring data insights, increased demand for data from lowered integration costs, and an overall increase in the value of data for business decision making and transformation.

Simplification Enables Mutual Benefit and Greater Data Value

What’s Needed?

The path forward is standards-based, fleet telematics data recommendations that specify the most needed fleet operational data, a single data model (COVESA VSS), and required data point fidelity including the deployment of intelligent data sampling (curve logic).

Conventions to consistently collect pertinent data points with clear intended uses, sampled well and provided in a common data model address these challenges while creating a robust data marketplace, and protecting the interests of all stakeholders.

Currently, each vehicle OEM uses a different vehicle data format, a different vehicle data sampling process, resulting in varying data fidelity. This means before data scientists can gain insights from aggregated data, each data point must to some extent be reverse-engineered to a common denominator.

This enormous amount of non-value-add engineering work inhibits the ‘power of telematics’ and prevents the development of insights that can only be arrived from the analysis of aggregated data from many different vehicle makes, models, and OEMs.

Benefits of Fleet Vehicle Standards