How vehicles are leading the way in an increasingly connected future

We’re excited to bring Transform 2022 back to life on July 19th and virtually July 20-28. Join AI and data leaders for sensible conversations and exciting networking opportunities. Register today!


With technologies such as Artificial Intelligence (AI) and machine learning (ML) advancing rapidly and bringing innovations to every step of the journey, our world is becoming more and more connected every day. Mobility has become central to one of the primary beneficiaries of this progress.

Smart Home Devices and the Internet of Things (IoT) – In a sea of ​​competent solutions, smart mobility developments such as Connected Vehicle Data (CVD) are the most promising because they provide a tangible vision, not just for the car’s future. For the city’s infrastructure, retail businesses, global supply chains, and everything in between.

How can connected vehicle data have such a huge impact? First, let’s establish what this data is, where it comes from and what it does today.

How does connected vehicle data work?

Unless you have a vintage drive, your car is already able to get valuable information and output that is important for drivers and society as a whole. This information ranges from braking data to engine run time to specific traffic patterns, vehicle performance, driver behavior, and the singular flow of traffic that paints a comprehensive picture of how these individual inputs are fed.

Connected cars are born using this data, which is transmitted directly from each vehicle to their automaker. Data is then analyzed by internal or external data scientists to make valuable real-time adjustments for insights and traffic flow and much more.

All of this may seem like quite an impressive technology, but there is still considerable support for the average person to experience its effects in their daily lives (both on the road and outside of their vehicle). The most prevalent shock today? While most automotive manufacturers do not share the same data language, petabytes leave data that cannot be understood by the entire marketplace for further gain.

Awareness about the benefits of CVD analytics is already growing – hence, there is also a pool of connected vehicles informing automakers, governments and brick-and-mortar businesses. In Vejo alone, we’ve collected and analyzed more than 66.8 billion travel data points from approximately 12 million active connected vehicles.

More widely, Statista reports that there are already 84 million connected cars on U.S. roads by 2021, and that number is expected to reach 305 million by 2035. This exponential growth in raw data output will require exponentially large support infrastructure but it could be. Instantly big everyday benefits in the same time frame.

What are the benefits?

Today, we are seeing the subtle scope of connected on-road experience around the world. From state transport departments to traffic management firms, attached vehicle data already represents many cases of use and benefits, including the following:

  • Mild congestion during peak travel Thanks for optimizing traffic signal timing with real-time updates based on vehicle flow across different sections of city roadways.
  • High safety and low accident risk Emerges from communication between connected cars and cloud communication services that can notify drivers about current accidents and potential hazards such as road work, fallen trees and more.
  • Reduced emissions, As a result of easing the traffic and resulting in a reduction in travel time and the number of idle vehicles at any given time.
  • Opportunities to increase business visibility Based on data showing peak travel time through specific corridors, businesses allow their working hours or advertising strategies to reach the maximum number of drivers throughout the day.

Connected Vehicle Data also informs the development of more advanced technologies such as Autonomous Vehicles (AV) and Electric Vehicles (EV) which will lead to more benefits for drivers in the future. For example, machine learning systems are working hard today to help vehicle AI become smarter and more adaptable to unique on-road situations.

On the electrification front, the range and charging infrastructure has long been painful for frightened customers. With Connected Vehicle Data, auto manufacturers and charging providers can adjust vehicle design elements and charging locations to optimize energy consumption for more efficient travel.

Looking forward

Practically every new car today is a connected car, contributing to a large network of connected devices and machines that will change the way we live our lives (for good) in the near future. What would this look like?

First, the vehicles we use will become increasingly intelligent and software-defined, taking advantage of the advanced vehicle architectures and edge computing capabilities to make every journey safer, less stressful and more durable. From the complex sensors that monitor the vehicle and its surroundings to new powertrain and in-vehicle experiences, connectivity and connected vehicle data will support this advance.

Smart mobility, and connected vehicles, in particular, will have a far-reaching effect outside the car’s driver’s seat. Combined with emerging innovations that might otherwise close in certain verticals, we may soon see a broader ecosystem where connected vehicles make our cities smarter, our businesses more profitable and help us travel. More convenient, safer and more enjoyable.

Sarah Larner is Executive Vice President of Strategy and Innovation at Vejo,

DataDecisionMakers

Welcome to the VentureBeat community!

DataDecisionMakers is a place where experts, including tech people working on data, can share data-related insights and innovations.

If you would like to read about the latest ideas and latest information, best practices and the future of data and data tech, join us at DataDecisionMakers.

You might even consider contributing to your own article!

Read more from DataDecisionMakers

Similar Posts

Leave a Reply

Your email address will not be published.