1. Smart Connected Automobiles
Stay Smart Stay Connected
Smart Connected Automobiles
By vinayak mane & mandar parnerkar
Team 4

2. Smart Connected Automobiles
Why smart Automobiles are required?
What IoT infrastructure will you use? What sensors will you be using and how?
How will you address Big Data Challenge? Which framework will you use and why?
How will you address the security aspect?
How other third parties like Insurance companies can be involved in your implementation?
Compare your solution with one existing implementation, indicate USP of your solution.

3. 1.Why Smart Connected Automobiles ?
The world we once thought was fictional is becoming a reality. Almost anything we want will someday be available at the touch of our fingertips, and a push of a few buttons could replace hours of work or even eliminate our worries. The Internet of Things (IoT) is set to enable these changes and drive us into the next age of efficiency. Tasks that were once time-consuming and perhaps dangerous, or that required precise calculations, will be turned over to our devices.
A safer, faster, and cleaner world
By 2020, there will be 250 million IoT-connected cars on the world’s streets, which will cut down on traffic accidents solely due to the multitude of eternally aware sensors and smart apps. Vehicles will avoid collisions by communicating their position on the road to each other. Furthermore, maintaining perfect spacing between vehicles will ease traffic congestion.
This shortened gap could potentially save 90 billion hours per year from traffic jams that currently waste $1 trillion on fuel, generate a whopping 220 million metric tons of hazardous carbon dioxide (CO2) into the air, and damage productivity. It will ease the stress of commuting to work, driving children to school, or running errands. In fact, with time and further advancement, the smart car could even be sent off on its own, remotely controlled and monitored from afar.
Combined with sensors in parking spaces, smart technology will also cut down on fuel costs, spacing, and time. Locations of available parking spots will be sent in real time to nearby vehicles, enabling drivers to check availability in advance. About 30% of traffic congestion is caused by drivers searching for a parking space, which smart technology and IoT will swiftly eliminate.
Each year, 1.3 million people are killed in traffic accidents. A full 90% of these are caused by human error, which is often sparked by physical and emotional factors such as stress, fatigue, recklessness, or distracted driving. Smart cars will eliminate this human factor. Vehicles connected and controlled by apps and sensors will be permanently alert and responsive to changing conditions.

4. IOT industry-Automobiles broadly classified below
Functional Areas
Use Cases
Hardware
Software
Services
Connectivity Protocols
Suppliers
Maintenance
Automatic Fleet routing ( Telematics)
Devices & Equipment
Data Analytics
System Integration
Ethernet
Cisco Jasper
Information Technology
Fleet Management
Sensors & Actuators
Applications
IOT Data Management
Other Frequency
Cisco
Production-MFG
Route optimization
Gateways & Routers
Data Visualizations
Software Development
Cellular
Auvesy
Logistics
Edge Intelligence
Transceivers
Cloud & Fog Platforms
Business Strategy
WIFI
Infosys
Product Development
Processors & Boards
Security
Connectivity
IPV6
SAP
Quality Assurance
Power Supplies
API s
Hardware Development
Bluetooth
Aeris Communications
Field Services
Wearables
Middleware
MQTT
Siemens

5. 2. What IoT infrastructure will you use
2.What IoT infrastructure will you use? What sensors will you be using and how?
Vehicle tracking
Accident reporting
Maintenance reports
Proactively feed information to avoid damages on wear and tear
IOT Purpose
GPS vehicle trackingfrom  Frotcom
key sensors used for automotive safety include radars, LiDARs, and ultrasonic and vision based sensors 
Intelli tread sensors - Imagine owning sensors, made with carbon nanotube ink, which could accurately monitor the tread on your tires to let you know when they have become uneven or maybe even dangerously thin
Tech involved
Explore available solutions from Players like Vodafone IOT which can supply special SIM cards
Link the Car telematics to OEM’s Cloud based server
Report the accident to Insurance and trigger Claim on confirmation by user
Initiate SOS in case of theft
Trigger a message in case of preemptive warning on wear and tear. Example : Tyre needs replacement
Execution

6. 3. How will you address Big Data Challenge
3.How will you address Big Data Challenge? Which framework will you use and why?
We can address the Big Data Challenge by Hadoop
It is an open-source data platform or framework developed in Java, dedicated to store and analyze the large sets of unstructured data.
With the data exploding from digital mediums, the world is getting flooded with cutting-edge big data technologies. However Apache Hadoop was the first one which caught this wave of innovation.
Capable of storing and processing complex datasets : With increasing volumes of data, increases the possibility of data loss and failure. However Hadoop’s ability to store and process large and complex unstructured datasets makes it somewhat special.
Great computational ability : Its distributed computational model enables fast processing of Big Data with multiple nodes running in parallel.
Lesser faults: Implementing it leads to lesser number of failures as the jobs are automatically redirected to other nodes as and when one node fails. This ultimately causes the system to respond in real-time without failure.
No pre-processing required : Enormous data can be stored and retrieved at once, including both structured and unstructured data without having to preprocess before storing into the database.
Highly scalable : It is a highly scalable big data tool as you can raise the size of cluster from single machine to thousands of servers without having to administer extensively.
Cost-effective: Open source technologies come free of cost and hence require lesser amount of money for implementing them.

7. 4How will you address the security aspect?
By utilizing resources like block chain based
Solutions which can help us not only share
Info safely but also build an ecosystem around it

8. 5. How other third parties like Insurance companies can be involved in your implementation?
With the help of, much appreciated, IoT the age-old methods followed in the insurance industry will witness a positive change. Insurers can create accurate products, as discussed earlier, better manage pre and post sales services and can simultaneously mitigate risks.
How It Works
Usage-based insurance makes use of the technology of Internet of things (IoT) to evaluate behaviours of multiple drivers in multiple locations. The mileage and driving behaviour of the driver are tracked through an odometer or an in-vehicle telematics device that is installed into a specific port in the car. The telematics device measures a number of parameters that would be of interest to underwriters:
The distance driven
The time of the day
Locations where the vehicle was driven to (through GPS)
Hard braking
Increased speed
Hard cornering
Air bag deployment
The extent of data collected is largely based on the telematics technology that is being used by the insurance company. It also depends on the extent of information the driver is willing to share. The insurer assesses the collected data and charges the insurance premium based on that. This ensures that safe drivers enjoy lower premiums when compared to drivers who are rash on the roads.

9. Much more than telematics
Compare your solution with one existing implementation, indicate USP of your solution.
Usp from my solution
DriveSmart from Bajaj Allianz
Maintainance
Driver can be alerted on attention towards maintenance via internet
Example: Brake Fluid warning sent to driver and workshop
More Secure
Data to be shared via Block chain based solution
Eg: IBM Watson
GPS vehicle tracking on special sims from Vodafone iot
Much more than telematics
Innovative tech used to report tyre thread warnings which can prevent accidents
Utilizing Hadoop Framework tools to achieve challenges faced in big data considering huge amount of data from smart sensors being synced in real time

10. Some Info graphics in IOT – Connected Cars

11. Information Source

12. Thank you
Stay Smart Stay Connected