Automotive companies are building next generation connectivity platforms on AWS to take advantage of the advanced analytics and Auto-Scaling features of the cloud. In this workshop, we walk through the use cases demonstrated in the AWS connected vehicle solution, such as anomaly detection and trip aggregation processing, as well as the core services in the solution: AWS IoT, AWS Greengrass, AWS Lambda, Amazon DynamoDB, Amazon Kinesis Data Analytics, and Amazon S3. Participants deploy the connected vehicle solution using an AWS CloudFormation template, and get hands-on experience deploying the AWS IoT Framework for Automotive Grade Linux (AGL) on automotive-grade hardware. By the end of the session, attendees have a working solution for publishing data from the device to the AWS connected vehicle solution deployed in their accounts, and they can begin customizing with their own devices.

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Deep Dive into the AWS Connected
Vehicle Reference Solution
A M T 3 0 3
Dean Phillips
Tech Lead, Auto & Mfg
Amazon Web Services
Steve Blackwell
Auto & Mfg Consultant
Amazon Web Services
John Dixon
Solution Architect
Amazon Web Services

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Agenda
Overview
Automotive on AWS
AWS Connected Vehicle Solution
Hands-on
Deploy the AWS Connected Vehicle Reference Architect (CVRA) & IoT Device Simulator
Build a Fleet Management function
Build an Alexa Skill
Build a Vehicle Remote Command function
Q&A

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What you will need for the hands-on
• An AWS account with an IAM user with administrator permissions
• A laptop with the AWS Command Line Interface (AWS CLI) and Python
installed
• A developer.amazon.com account
• A mapbox.com API access token

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Related sessions
Thursday, November 29
AMT306 – Autonomous Vehicle Development on AWS
3:15 p.m. – 5:30 p.m. | MGM, Level 3, Premier Ballroom 312, T2
Thursday, November 29
AMT315 – Building an Augmented Reality Owner’s Manual
2:30 p.m. – 3:30 p.m. | Venetian, Level 2, Veronese 2406, T1

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Other relevant sessions
AMT301 – Alexa, Where’s My Car? A Test Drive of the AWS Connected Vehicle Solution
Learn how companies leverage Amazon services such as Alexa, AWS IoT, AWS Greengrass, AWS Lambda, and
Amazon Kinesis Data Analytics to rapidly develop and deploy innovative mobility services.
AMT304 – Building Volkswagen Group’s Digital Ecosystem
Learn how Volkswagen Group built their One Digital Platform using AWS as landing zone for migrating and
replatforming their existing on-premises backend, in-sourcing development, empowering their internal teams, and
transforming internal processes to enable greater agility and reduce time to market.
AMT302 – Easy Rider: How ML, Serverless and IoT Drive Mobility as a Service
In this session, Avis Budget Group (ABG) and Slalom will walk through their serverless mobility platform using the
AWS connected vehicle reference architecture, Amazon SageMaker, Amazon Kinesis Data Analytics, and AWS Lambda.
AMT305 – Building BMW Group’s Digital Customer Engagement Platform
Learn how BMW Group built its Unified Configurator Platform to serve 30+ branded customer-facing applications
with over 300 RESTful API endpoints using services such as Amazon API Gateway, AWS Lambda, Amazon Elastic
Beanstalk, and AWS Elastic Container Service.
Check the re:Invent website for videos of these sessions from earlier in the week:

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8
Automotive industry catalysts
Consumer expectations
shaped by mobile apps
and shared economy
Sensors
on-car compute
Wireless connectivity
ubiquitous and inexpensive
Powertrain
Electrification
Autonomous driving
Level 3 & 4
Cloud
Use of data lakes &
AI/ML

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9
Automotive transformation
Every automotive company needs to be a software company

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How Amazon approaches connected vehicles

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Connected Vehicle Reference Solution
• Start prototyping with a ‘well architected’ architecture
in minutes using the AWS Connected Vehicle Quick
Start
• Deploy into your own AWS account
• Customize use cases or develop your own
• Remove or add other AWS and partner services
• Easily connect your own data or your own devices
https://aws.amazon.com/answers/iot/connected-vehicle-solution/

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AWS IoT Device Simulator
Simulate generic IoT
devices that send MQTT
messages to the IoT
Cloud in AWS
1. Cloud formation template to
deploy in your own account
2. Ready-made automotive
“devices” to simulate traffic
3. Works with the Connected
Vehicle reference architecture
https://aws.amazon.com/answers/iot/iot-device-simulator/

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CVRA architecture
Connect car
Data Firehose
Lambda
DynamoDB
Amazon SNS
Data Analytics Data Streams
IoT
DynamoDB
DynamoDB
DynamoDB
Lambda
Lambda
Lambda
Lambda
Lambda
Lambda
S3
Raw data Anomaly detection
Trip data
Driver score
DTC
Notification service
Location-based marketing
JIT reg.
API Gateway
Amazon
Cognito
Lambda
Vehicle service

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CVRA & IoT simulator architecture
Data Firehose
Lambda
DynamoDB
Amazon SNS
Data Analytics Data Streams
IoT
DynamoDB
DynamoDB
DynamoDB
Lambda
Lambda
Lambda
Lambda
Lambda
Lambda
S3
Raw data Anomaly detection
Trip data
Driver score
DTC
Notification service
Location-based marketing
JIT reg.
API Gateway
Amazon
Cognito
AWS Fargate
ECS containers
S3 API Gateway Lambda
S3
DynamoDB
SQS
Lambda
Vehicle service
Amazon Cognito
IoT simulator

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Detailed architecture
connectedcar/telemetry/<VIN>
ConnectedVehicleTelematicsStorage
connected-vehicle-telemetry
ConnectedVehicleAnomalyDetectionApp
cc-anomaly-stream AnomalyServiceFunction
connected-vehicle-data
VehicleAnomalyTable
connectedcar/trip/<VIN>
ConnectedVehicleTrip
VehicleTripTable
connectedcar/trip/<VIN>
ConnectedVehicleDriverScore
DriverSafetyServiceFunction
connectedcar/dtc/<VIN>
ConnectedVehicleTelematicsDtc
DtcServiceFunction VehicleDtcTable
vehicleTelemetryFunction vehicleTelemetryTable
vehicleRouteTable
Fleet management
vehicleTripFunction API Gateway

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Alexa voice service architecture
Connected Vehicle reference architecture

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Remote command architecture
createCommandFunction API GatewaysendCommandFunction
vehicleCommandAuditTable
remoteCommandsQueueconnectedcar/cmdsend
connectedcar/cmdack
honkHornFlashLightsFunctions
Greengrass
receivedCommandFunction

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Activities
Here is what we will be doing
I. Deploy the AWS Connected Vehicle Reference Architecture
II. Deploy the IoT Device Simulator
III. Build a Fleet Management function
IV. Create a fleet and generate trip data
V. Build an Alexa Skill
VI. Optional - Build a Remote Command function
Instructions @ https://github.com/dixonaws/reinvent_cvra_bootcamp

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25. Thank you!
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Dean Phillips deanphi@amazon.com
Steve Blackwell stevbla@amazon.com
John Dixon dixonaws@amazon.com

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