AWS Announces General Availability of AWS IoT FleetWise : @VMblog

Amazon Web Services, Inc. (AWS) announced the general
availability of AWS IoT FleetWise, a new service that makes it easier for
automotive companies to collect, transform, and transfer vehicle data to the
cloud in near real time. Automakers, suppliers, fleet operators, and technology
solution vendors in the automotive industry can use AWS IoT FleetWise to
collect and organize vehicle data more easily, and to store the data in a
standardized way for data analysis in the cloud. AWS IoT FleetWise helps
automotive companies efficiently transfer data to the cloud in near real time
using the service’s intelligent data-collection capabilities. These
capabilities allow developers to reduce the amount of data transferred to the
cloud by defining rules for when to collect and transfer it based on
configurable parameters (e.g., vehicle temperature, speed, and type). Once the
data is in the cloud, automotive companies can use it for applications that
analyze vehicle fleet health to more quickly identify potential recalls or
safety issues, make in-vehicle infotainment systems smarter, or improve
advanced technologies like autonomous driving and advanced driver-assistance
systems with analytics and machine learning. There are no upfront costs to use
AWS IoT FleetWise, and customers pay only for the underlying services used. To
get started with AWS IoT FleetWise, visit

“Automotive companies want to use the broad portfolio of
AWS services to help manage the vast amounts of data coming from connected
vehicles, but they have lacked a solution that made it easier to collect,
transform, and transfer data to the cloud,” said Mike Tzamaloukas, general
manager of IoT automotive at AWS. “Now, with AWS IoT FleetWise, customers can
easily pinpoint the exact vehicle data they need and analyze it in a
standardized format to gain actionable insights into the vehicle’s health
status and performance. Automotive companies can now use the data extracted
through AWS IoT FleetWise to help improve vehicle quality, safety, and

Automotive companies have been collecting data from basic
vehicle sensors for over a decade to evaluate operational and safety indicators
like engine temperature and vehicle stability. Automotive companies today are
building vehicles with advanced sensors (e.g., radar and cameras) that create
vast amounts of data-in some cases up to 2 terabytes of data every hour.
Automotive customers want to collect, standardize, and analyze this data in the
cloud to quickly and easily derive insights that can help improve vehicle
quality, safety, and autonomy. However, transferring this data to the cloud can
be cost prohibitive and time consuming. Additionally, the growing variety of
vehicle makes, models, and trims that generate data in different proprietary
formats creates a complex array of data across vehicles. Collecting,
transforming, and analyzing this data requires automotive companies to build
custom data-collection systems, which is difficult and time-consuming. As a
result, automotive companies are unable to use the data to help solve common
problems like spotting fleet-wide issues before they become a bigger problem,
tailoring infotainment content, and using data to improve vehicle performance. 

AWS IoT FleetWise provides automotive companies with a
managed service that makes it easier to collect, transform, and transfer data
from millions of vehicles to the cloud in near real time. With AWS IoT
FleetWise, automotive companies can access, structure, and standardize
proprietary vehicle data without needing to develop custom data-collection
systems. Customers can also integrate with AWS IoT FleetWise to enhance their existing
systems. Automotive companies can get started in the AWS Management Console by
defining and modeling vehicle attributes (e.g., a two-door coupe) and the
sensors associated with the car’s make, model, and trims (e.g., engine
temperature, front-impact warning, parking assist system) for individual
vehicle types or multiple vehicle types across their entire fleet. After
vehicle modeling, automotive companies can connect the AWS IoT FleetWise
application via the vehicle gateway (i.e., in-vehicle communications hub that
monitors and collects data) or other data collection hubs in the vehicle, so it
can read, decode, and transmit information to and from AWS. With AWS IoT
FleetWise’s intelligent data-collection controls, automotive companies can
select the exact data they need for their use cases and limit the amount of
data transferred to the cloud by creating conditional rules (e.g., sensor data
from hard-braking events associated with a vehicle make and model). Once data
is transferred to the cloud with AWS IoT FleetWise, automotive companies can
use AWS’s breadth and depth of analytics and machine learning services to
extract value from vehicle data. For example, automotive companies can collect
data from electric-vehicle batteries when the temperature drops below freezing
and then analyze it and run simulations in the cloud to improve battery
performance in cold weather. 

The new AWS IoT FleetWise service is part of AWS for Automotive, a
comprehensive offering of AWS services and AWS Partner Network (APN) solutions
used by automotive and mobility customers globally to help automotive customers
digitally transform their business for connected mobility, digital customer
engagement, product design and engineering, manufacturing, and supply chain.
For more information about AWS for Automotive, visit

AWS IoT FleetWise with standard vehicle data collection
is generally available today in US East (N. Virginia) and Europe (Frankfurt),
with availability in additional AWS Regions coming soon. 

Bridgestone is a global leader in tires and rubber,
offering a diverse portfolio of premium tires and advanced solutions, improving
the way people around the world move, live, work, and play. “Bridgestone has
been working with AWS to transform the digital services we provide to our
automotive manufacturer, fleet, and retail customers,” said Brian Goldstine,
president, mobility solutions and fleet management at Bridgestone Americas,
Inc. “We look forward to exploring how AWS IoT FleetWise will make it easier
for our customers to collect detailed tire data, which can provide new insights
for their products and applications.” 

Hyundai Motor Group (HMG) is a global vehicle
manufacturer that offers consumers a technology-rich lineup of cars, sport
utility vehicles, and electrified vehicles. “As a leading global vehicle
manufacturer, we have come to appreciate the breadth and depth of AWS services
to help create new connected vehicle capabilities,” said HaeYoung Kwon, vice
president and head of the infotainment development group at HMG. “With more
data available from our expanding global fleet of connected cars, we look
forward to leveraging AWS IoT FleetWise to discover how we can build more
personalized ownership experiences for our customers.” 

LG CNS is a leader in cloud, artificial intelligence, and
big data technologies that are transforming smart transportation services. “At
LG CNS, we are committed to advancing the technology that is powering the
future of transportation,” said Jae Seung Lee, vice president at LG CNS. “By using
AWS IoT FleetWise, we are creating a new data platform that allows us to
ingest, analyze, and simulate vehicle conditions in real time. With these
advanced insights, our customers can gain a better understanding of their
vehicles and, as a result, improve decision-making about their fleets.” 

Renesas Electronics Corporation is a global leader in
microcontrollers, analog, power, and system-on-chip (SoC) products. “The volume
of connected vehicle data is forecast to increase dramatically over the next
few years, driven by new and evolving customer expectations. As a result,
Renesas is focused on addressing the needs of automotive engineers facing
increasing system complexity,” said Yusuke Kawasaki, director at Renesas
Electronics Corporation. “Incorporating AWS IoT FleetWise into our vehicle
gateway solution will enable our customers to enjoy our market-ready approach
for large-scale data collection and accelerate their cloud development
strategy. We look forward to collaborating further with AWS to provide a better
and simpler development environment for our customers.” 

This content was originally published here.