What Kind of Support Does Big Data Provide for Connected Car Platforms?

Auto Tech Outlook | Monday, January 11, 2021

Connected Car platforms are the new computer systems for vehicles with superior sensing capabilities. They employ big data to provide vehicles super-computer-like powers.

FREMONT, CA: Connected vehicle platforms act as a communication channel for cars, serving as the source of their ADAS capabilities and advanced features and the repository for their general automotive knowledge.

Cars cannot connect directly with one another; they require a hub or chat functionality to communicate. To connect, an automobile requires a platform that collects, processes, and shares data. Vehicle connectivity platforms integrate infotainment systems, automotive application frameworks, and data infrastructure for linked cars into a single solution. As a result, people now have a sophisticated cloud-based connected car platform that supports 4G and 5G networks and enables vehicle-to-everything (V2X) communication. Consider Slack for automobiles, where each vehicle has its own mind (hardware), personality (software), and social connections (third-party services).

Consider a few connected car platforms as examples to demonstrate how big data is being used in automotive platforms:

Telematics capabilities

Top 10 Connected Car Solution Companies – 2020The Connected Vehicle Cloud platform assists OEMs in delivering an upgraded user experience by collecting and analyzing in-vehicle data. This includes remote control (locking/unlocking, heating, start/stop), emergency calls, self-parking, shared ownership capabilities, and autonomous driving.

Management of fleets

Along with measuring various variables ranging from routing to maintenance difficulties, the connected car platform collects data and connects vehicles across countries and regions. The ability of connection platforms to consolidate and harmonize data from large-scale international fleets is an indisputable benefit. The platform's processing and analysis of contextual and in-vehicle data enable monitoring driver behavior, real-time fleet tracking, vehicle status and service monitoring, mapping and geofencing, traffic analysis, historical data analysis, and maintenance prediction.

Connectivity on an international scale

Two connection components comprise the Connected Vehicle Cloud: connectivity management orchestration and a global service operations center. They enable OEMs to manage automobiles globally.

The connected automobile platform addresses connectivity concerns seamlessly by integrating underlying technologies from multiple vendors. A set of APIs acts as a layer between various mobile network operators and original equipment manufacturers. OEMs and Tier 1 providers may view all underlying mobile networks and embedded UICC (universal integrated circuit card) platforms through the interface.

ADAS

Driving assistance is included in the capabilities of this connected automobile platform, which makes connectivity a prelude to driverless transportation. Cars can look around corners, avoid risky situations, communicate with their environs, and make driving significantly safer through collaboration and the use of in-vehicle sensors.

While smart cars incorporate various sensors and cameras on-board, connection systems augment sensor data with data from other vehicles and cloud-based service providers. Users benefit from a single integration point for data from smart city infrastructure, other cars, and regulatory organizations, among others. Data sharing, monetization, security, real-time support, and geofencing are all enabled via a V2X application server. This allows the fact that big data technologies are analyzing all of the data on the connected automobile platform.

See Also: Top Automotive Solution Companies

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