Optimizing emissions and energy efficiency through data-driven intelligence
In partnership with Geotab and the Global Fleet Summit, we delve into how data analytics and Artificial Intelligence (AI) are revolutionizing the European Union's (EU) efforts to decarbonize transportation.
The EU's climate targets are being supported by these technologies, which are playing a pivotal role in optimizing fleet management and accelerating electrification.
Smarter Fleet Management
AI is transforming fleet management by enabling route optimization, predictive analytics, real-time monitoring, Connected and Automated Mobility (CAM), and Vehicle-to-Everything (V2X) communication. AI-driven systems analyze real-time traffic, vehicle performance, and environmental conditions to plan the most efficient routes, reducing fuel consumption and CO₂ emissions. Predictive analytics help fleet operators anticipate maintenance needs, minimizing unnecessary downtime and emissions. CAM, V2X, and digital connectivity optimize freight transport, lower fuel use, and coordinate fleets more effectively.
Facilitating Electrification
The EU's push towards zero-emission vehicles by 2035 is being bolstered by AI. AI-powered smart energy management systems balance grid load, optimize battery usage, and manage EV charging demand, enhancing EV adoption. The EU-funded FEDORA project, for instance, integrates real-time sensing and forecasting with multi-modal optimization to reduce traffic congestion and emissions in urban and regional transport systems.
The EU ETS II, starting 2027, will put a carbon price on road transportation, further motivating the use of AI-optimized electric fleets.
The transport sector, being the largest source of greenhouse gas emissions in the EU, requires significant work to meet climate targets. However, with the integration of AI and data analytics, the EU is making strides towards a more sustainable future.
Geotab, a company dedicated to accelerating the decarbonisation of commercial vehicles, is playing a significant role in this transformation. By simplifying access to data insights, Geotab's platform enables companies to make informed decisions, reducing their environmental footprint.
Early adopters in electric last-mile delivery and trucking are demonstrating what's possible in sustainable transportation. A large German bus operator, with over 5,000 vehicles equipped with Geotab, created significant cost savings and fleet sustainability improvements through telematics data. The Geotab-integrated Eco App promotes a more climate-friendly driving style, focusing on the safety of passengers and drivers as well as the efficiency of the buses.
Data-driven insights can reveal the top sources of emissions, identify the best vehicle candidates for electrification, create financial forecasts, monitor fuel cost and emissions reduction, and provide real-time EV charging status.
Data analytics and AI can play an important role in making the business case for investing in sustainability and managing ongoing efforts. In fact, a Geotab survey reveals that 69% of fleet professionals used sustainability data to reduce operating costs in the past year.
By reducing unnecessary idling times, a fleet saved approximately 40% and reduced fuel consumption by 25 million liters of diesel, equivalent to a reduction of 60,000 metric tons of carbon emissions. A Spanish fleet integrated telematics with cameras and saw a 10% decrease in traffic collisions, an immediate decrease in fuel consumption, and a reduction in carbon emissions by up to 132 metric tons annually.
Working together, Geotab and its partners can scale innovation and impact, achieving ambitious sustainability goals and creating a more sustainable future across Europe and beyond.
Contact Edward Kulperger, Senior Vice President, EMEA, Geotab, for more information.
- The European Union's (EU) efforts to decarbonize transportation are being supported by technologies like telematics, AI, and data analytics, which are crucial for optimizing fleet management and accelerating electrification.
- In the EU, AI-powered smart energy management systems are instrumental in balancing grid load, optimizing battery usage, and managing EV charging demand, thereby increasing EV adoption.
- The integration of AI, environmental-science, and data-and-cloud-computing is key to reducing greenhouse gas emissions in the transport sector, where the EU needs substantial changes to meet climate targets.
- Companies like Geotab, dedicated to decarbonizing commercial vehicles, are making a significant impact on the transformation towards a greener fleet, providing access to data insights that enable informed decisions.
- Financial benefits can be derived from sustainability investments with the help of data analytics and AI, as demonstrated by fleet professionals who used such data to reduce operating costs by up to 40%.
