As the amount of data generated by vehicles every day continues to grow at an astonishing rate, and as vehicles become increasingly complex, the sheer volume of information will place significant pressure on existing data networks. This growing demand is driving the need for innovative network and computing infrastructure solutions. Xevo’s Journeyware solution was specifically designed to address these challenges.
According to Dan Gittleman, CEO of Xevo, a leading developer in vehicle user experience, the data transmission between connected cars and the cloud is expected to increase by 10,000 times, reaching 10 Exabytes (EB) per month by 2025. To manage this surge, Gittleman emphasized that automotive engineers and manufacturers should integrate cloud services with in-vehicle computing capabilities. This approach will help maintain system performance and communication efficiency even as data volumes rise.
The Journeyware platform combines cloud-based machine learning, artificial intelligence (AI), and advanced data analysis tools with in-vehicle processing capabilities. It enables efficient capture, management, analysis, and delivery of large and diverse data streams from connected vehicles. By integrating cloud and in-vehicle computing, Journeyware optimizes network and computing resources across vehicles, mobile devices, and cloud platforms.
Decentralized data processing plays a key role in this strategy. Through triaging, data generated by vehicles can be classified and managed based on its importance and where it needs to be processed—either locally within the vehicle or in the cloud. This ensures that only essential data is sent to the cloud, preserving network bandwidth and reducing congestion.
Journeyware’s customizable rules allow engineers to define where and how data is collected, stored, and transmitted. For example, specific conditions such as low speed in a certain area or simultaneous activation of windshield wipers can trigger predefined actions. These rules create a more efficient data architecture, minimizing unnecessary data transfers and preventing network overload.
In terms of storage, Journeyware determines whether data should be stored temporarily or permanently, and whether it should remain in the vehicle or be uploaded to the cloud. When data is sent to the cloud, the system decides where it should be stored for quick access or long-term retention, and how it should be retrieved when needed.
By combining rule-based classification with flexible storage options, vehicle designers can proactively manage the ever-increasing data flow from connected cars, ensuring that systems continue to operate smoothly and reliably.
Gittleman also highlighted that mobile devices like smartphones and tablets can put additional strain on in-vehicle networks. However, hardware and software solutions that support Bluetooth pairing and in-vehicle Wi-Fi hosting can provide seamless connectivity, keeping devices active and functional at all times.
Ultimately, the rising data demands of connected vehicles require proactive solutions. Implementing intelligent data management systems like Journeyware not only addresses bandwidth challenges but also enhances user experience, customer satisfaction, and brand loyalty. As the automotive industry evolves, adopting such innovations will be crucial for staying competitive in the connected car era.
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