The Rise of Autonomous Vehicles and Mobility Data Streams-Pros & Cons

 Driverless and autonomous vehicles are rapidly transforming the automotive industry, and real-time mobility data streams are powering them. According to a report by McKinsey, autonomous driving will create a forecasted revenue of over $300 billion by 2035. Undeniably, these software-driven vehicles have the potential to revolutionize on-road journeys, ensuring enhanced safety, efficiency, and sustainability.


In this article, we will explore the pros and cons of autonomous or driverless vehicles, highlighting their impact on the automotive industry. But before that, let's deep dive and understand the Five levels of automation.


An Overview of the Five Levels of Automation in Connected Vehicles

With the advent of technology in the automotive industry, OEMs are rapidly incorporating smart technologies in their connected vehicles. Currently, all the premium segment vehicles come with level 1 automation and are forecasted to reach level 3 automation by 2030.


Leading OEMs like Tesla have already introduced accesstv cars with 2nd level automation features. Here is an overview of these 5 levels of automation:


1st Level of Automation where vehicles come with general hardware connectivity, allowing automated systems to take partial control of the vehicle in specific circumstances. For instance, an adaptive cruise control feature to automatically control the acceleration and braking, specifically in highway driving. So, whenever the drivers are tired, they can take their feet off the pedals while driving.


2nd Level of Automation for partial automation with individual connectivity features that are linked to the driver's digital ecosystem. It allows the vehicle to perform more complex functions by pairing steering (lateral control) with acceleration and braking (longitudinal control).


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