Impact of IoT in Automobile Industry

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This paper discusses the impact of IoT in automobile industry. It covers in-vehicle infotainment, predictive maintenance, security, surveillance and safety, analysis of data and reporting dashboard, real time monitoring, cognitive insights for the management, smart cars, driverless cars, V2V and VII, and the future of IoT in the industry.

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Running head: IOT IN AUTOMOBILE INDUSTRY
IOT IN AUTOMOBILE INDUSTRY
Name of the Student
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Author Note

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IOT IN AUTOMOBILE INDUSTRY 1
Abstract:
The purpose of this paper is to discuss the impact of IOT in automobile industry. The
Internet of Things is breaking new ground for the vehicle makers by acquainting totally new
layers with the traditional idea of a vehicle. This update for the connected and smart car,
comes as a progressive way for the people to drive as well as keep in contact with the world
around at the time of driving car too. By providing an amazing assortment of infotainment
benefits and connected vehicle services for the drivers, the car automotive area can possibly
turn into an IoT champion that is prominent and siphon up among the of IoT cloud
administrations selection among vehicle proprietors as well as the walkers alike.
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Table of Contents
Introduction:...............................................................................................................................3
IoT in automobile industry:........................................................................................................3
In-vehicle infotainment:.........................................................................................................3
Predictive maintenance:.........................................................................................................4
Security, surveillance and safety:...........................................................................................4
Analysis of data and reporting dashboard:.............................................................................5
Real time monitoring:............................................................................................................5
Cognitive insights for the management:................................................................................5
The Smart Cars of that are existed:........................................................................................5
Driverless Cars:......................................................................................................................6
V2V and VII:..........................................................................................................................6
The Long Road Ahead:..........................................................................................................7
The Future:.................................................................................................................................7
Vehicle Deals will Go Online................................................................................................7
Progressive Changes in Financing and Insurance:.................................................................8
Conclusion:................................................................................................................................8
Annotated bibliography:...........................................................................................................10
Bibliography:............................................................................................................................15
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4IOT IN AUTOMOBILE INDUSTRY
Introduction:
Internet of things, or the gadgets that are connected over a system, has been no longer
a fancy innovation that can help the future. This is here and quickly changing the manner in
which the people live. In the automotive industry sector, IoT has empowered more prominent
transportation effectiveness and the management abilities and is driving the people to an
eventual fate of smart, self-sufficient vehicles. As indicated by Net scribes statistical
surveying, the worldwide car IoT showcase is required to reach 106 billion US dollars by
2023, driven by the regularly expanding requirement for sparing time and augmenting
profitability in the quick paced world. The presentation of rapid portable systems that is on
the horizon may catalyse the development through quicker information exchanges, reaction
times, and improved vehicular correspondence (Anderson, Obayi & Okafor, 2017). For
organizations in the automotive division, amusement and support service organizations, the
Kaa company offers a heap of attachment as well as play IoT parts that streamline
advancement of connected vehicle applications and that too by times and guarantee of
smooth interactions between the discrete modules of the connected vehicle inside a protected
cloud condition. Kaa is profoundly versatile and can without much of a stretch handle a huge
number of connected vehicles all the while and consequently balance out pinnacle stacks in
cloud administration utilization. With Kaa, this is anything but difficult to empower new
administrations over the air, as well as oversee several service plans and client gatherings.
IoT in automobile industry:
IoT has just picked up reception in a few territories inside the car sector. The absolute
most interesting utilizations of IoT in the car business can be arranged as follows:
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5IOT IN AUTOMOBILE INDUSTRY
In-vehicle infotainment:
The Smart applications are being prepared into vehicle infotainment frameworks to
give in-vehicle route, telematics, and excitement. Google has collaborated with a few
automakers to incorporate its applications, for example, Play Store, Google Maps and Google
Assistant into infotainment frameworks of the vehicle (Bonomi, 2013). Correspondingly, the
Apple CarPlay is provided as a component in varieties people mid-to top of the line vehicles.
Most of the vehicle infotainment frameworks at present take the fastened or incorporated
structure, which expects the people to be connected with an outer gadget for web availability,
for example, a cell phone. Vehicles of things to come will have programming and availability
highlights inserted into the infotainment systems of them, enabling drivers to get to maps, on-
request diversion, and a ton of web connected benefits in a hurry.
Figure 1: IoT in automobile industry
Predictive maintenance:
The Sensors that are in the operational segments of vehicles screen useful
measurements, for example, temperature, motor status, electrical frameworks, speed and
route, which measure execution factors and gauge execution benchmarks. The data
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accumulated is utilized to refresh proprietors with protection and prescient upkeep cautions
helping them for addressing the issues before they reach.
Security, surveillance and safety:
The External sensors have also been utilized as back view cameras as well as the
closeness sensors that guide in vulnerable side discovery and aid simpler stopping, and more
secure driving. The Drivers are also secured and it is possible for the sensors that are advance
based which have the ability for encompassing traffic designs and nature to guarantee safe
driving (Anand et al., 2015). Also, with the utilization of work organized autos out and about,
locally available frameworks can anticipate and maintain a strategic distance from crashes far
ahead of time of real events.
Analysis of data and reporting dashboard:
The Connected vehicles provide a rich wellspring of driver information fundamental
to the improvement, testing, as well as the prototyping for the better self driving cars. As an
ever-increasing number of cars with the implementation of IoT empowered frameworks draw
in with this present reality, the riches and nature of information will definitely improve. With
information investigation and dashboard revealing devices, associations in the vehicle
business can keep on improving their contributions as well as better serve the requirements of
their clients.
Real time monitoring:
The IoT additionally takes into account constant information that have been sharing
from the cars to producers helps for improving of upkeep and assembling process all through
the lifecycle of the vehicle. This sharing of the information additionally encourages improve
prescient bits of knowledge to permit quicker reaction times, if there should arise an

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7IOT IN AUTOMOBILE INDUSTRY
occurrence of any difficult risky related issues as well as make it simpler for the producers to
be responsible and proactive if there should arise an occurrence of emergency situations.
Figure 2: Use of IOT for navigation
Cognitive insights for the management:
The Connected vehicles enable producers to legitimately and productively illuminate
drivers about any issues and mechanize monotonise people undertakings, for example,
planning a vehicle overhauling meeting with the closest vehicle seller or the office for the
services (Dhall & Solanki, 2017). The two way trade guarantees that vehicles are routinely
adjusted in a self-sufficient design with little bother to the client.
The Smart Cars of that are existed:
From the period of incorporated circuits to advanced, there have been a sea change.
The beginning of the 21st century the coming of a few innovations that could make the things
which once thought unimaginable actually a piece of cake. Route, taxi services, security,
diversion, and a heap of different viewpoints turned into a staple element in the advanced
autos (Shinde & Mane, 2015). When programming applications began going portable, the
conceivable outcomes wound up huge. The noughties have been a time of rivalry. The war
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8IOT IN AUTOMOBILE INDUSTRY
that is related to the Application would be a superior term to portray the rodent race that
followed between Google, Blackberry and Apple. A war which is as yet running on with
apparently no imaginable closure. What this prompted was the quick development of the
portable stage as well as the prospects of this which have conveyed the people to the
innovative wilderness that the people live in today. The self-propelled vehicle which
numerate people a specialist once anticipated must be enlivened in the removed future, is
particularly a reality at present as well as it is improving each day (Djenouri, Boulkaboul &
Bagula, 2015). The headways in systems administration have additionally energized
advancement on the front permitting installed gadgets to work self-rulingly. Robotization, all
in all, has gotten a significant lift and different capacities are presently getting mechanized
and assembling for adaptability as well as a better access. It has been incredible news for the
vehicles. The main drawback that is present currently is the administration and checking
accuse that are related of such administrations presently.
Driverless Cars:
At present there are so many driverless vehicles out there today. From Google's
Waymo to the Tesla made vehicles, advancements in the past couple of years this has been
sown that the seeds for a business opportunity for robotized vehicles (Dokic, Müller &
Meyer, 2015). Tesla recently declared that every one of its autos will include autopilot
alternatives. This is in reality a gigantic advance as the people head towards a future.
V2V and VII:
The best parts of IoT in cars are the Vehicle to Vehicle (V2V) and Vehicle
Infrastructure Integration technologies. Though this is still under research, the advances are
demonstrating to very helpful in the handy application which have been liable to up until
now. V2V and VII, which is also known as the V2X combination work by empowering a
correspondence arrange between gadgets inserted inside the vehicle in sensor as well as the
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different structures, with wearable, convenient and brought together gadgets which will hand-
off data between one another. This system will empower capacities from essential observing
as well as diagnostics for the computerization of different procedures that is including also
driving self (Jang, 2017). Advancement on the information examination front will
additionally empower this to utilized to a more noteworthy degree permitting progressively
compelling coordination between gadgets which could in the end lead to a more secure,
smoother and agreeable ride.
The Long Road Ahead:
IoT is as yet a moderately new innovation and it has far to go before the people could
outfit its maximum capacity. The advancement done as such far with the assets the people
have has been very moment the people notwithstanding the couple of inadequacies which
have even guaranteed life as of late. There is no denying that the thought self-driving autos
will be the subject of unending discussions for some more decades to come and the
inescapable mishaps could make the effectively suspected people crowded much
progressively neurotic about it. This could likely be the greatest detour that car makers and
the IT business should defeat to construct an IoT superhighway of things to come.
The Future:
Vehicle Deals will Go Online
There have been genuine repulsiveness accounts of vehicle vendors getting to be
wasteful and clients experiencing enthusiastic disturbance. There will be news on online
vehicle bargains that spare clients a great deal of cash. In the event that that will occur
without a doubt, purchasers and venders can remove the vendor as well as there shall be no
go between. On the off chance that there is no broker, the client can spare much more than
thousands of dollars in a solitary arrangement. Individuals investigate over the online

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10IOT IN AUTOMOBILE INDUSTRY
platform before they purchase a vehicle, presently they can research and get it on the web.
This thought is becoming a ton of ubiquity nowadays.
Figure 3: Estimated car shipments
Progressive Changes in Financing and Insurance:
The Internet of things is making changes in the accident protection industry too.
Through web of gadgets, insurance agencies can screen the propensities for auto drive, the
speed in that the drivers proceed onward the streets, the season of driving, etc. Indeed,
through IoT, it can be expected that a lot of wary drivers in such a case that they know the
protection premiums are probably going to be brought down at the time of driving cautiously,
they will make sure to be cautious (Morabito et al., 2017).
Conclusion:
Thus, it can be concluded that some time ago the possibility of self-ruling vehicles
was viewed as a dream of things to come, the advancements accessible around then were
insufficient to help that vision. In any case, the improvement in innovations like IoT (Internet
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of Things) and AI (Artificial Intelligence) have empowered changes that are in this division.
Through cutting edge correspondence capacities and smart sensors, the innovation of the IoT
specifically is setting the way for the car business and connected vehicles later on economy.
IoT innovation is changing car enterprises' assembling to satisfy the new needs in the market
while proceeding to achieve their regular business targets (Zhang et al., 2018). With
information investigation and dashboard revealing devices, associations in the vehicle
business can keep on improving their contributions as well as better serve the requirements of
their clients. Most of the vehicle infotainment frameworks at present take the fastened or
incorporated structure, which expects the people to be connected with an outer gadget for
web availability, for example, a cell phone. Vehicles of things to come will have
programming and availability highlights inserted into the infotainment systems of them,
enabling drivers to get to maps, on-request diversion, and a ton of web connected benefits in
a hurry. The IoT arrangements providers will profit by this new market and produce an
income of more than 300 billion dollars by 2020. While ITC states that the overall market for
IoT arrangements in the car business will develop to 7.1 trillion dollars by 2020.
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Annotated bibliography:
Zhang, Y., Liu, S., Liu, Y., Yang, H., Li, M., Huisingh, D., & Wang, L. (2018). The
‘Internet of Things’ enabled real-time scheduling for remanufacturing of
automobile engines. Journal of Cleaner Production, 185, 562-575.
Remanufacturing is becoming a problem for the industry as the demands of the consumers
are changing constantly. The industry with the most cases of the manufacturing process is the
automobile industry. About 70% of the remanufacturing is done in this industry. The purpose
of this paper is to find the usefulness of IoT in the engine manufacturing in the automobile
industry and adopting the use of internet of things in the engine manufacturing and
remanufacturing process.
It can be concluded that the process can be simpler and easier to understand. The use
of more optimized algorithm can reduce some of the steps in the assembling process, so that
the while function can be more flexible and light weight.
Citation: Bonomi, F. (2013). The smart and Connected Vehicle and the Internet of
Things. In Invited Talk, Workshop on Synchronization in Telecommunication
Systems.
The aim of this project is Use of Internet of Things in the connected vehicle and
intelligent transportation and understanding the role of IoT in smart transportation. The
author Bonomi has discussed about the various aspects of the IoT in the automobile industry
and related things like managing parking of the cars. It can be said that through the use of the
connected network the use of smart cars can enhance the user friendliness and can take
significant role in the road safety while driving the car.

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13IOT IN AUTOMOBILE INDUSTRY
The use of different optimization methods can be easier for finding the best part. The
solution regarding the smart car should be cost effective
Dhall, R., & Solanki, V. (2017). An IoT Based Predictive Connected Car
Maintenance. International Journal of Interactive Multimedia & Artificial
Intelligence, 4(3).
In their paper Dhall and Solanki have stated that the paper has identified some of the
drawbacks of the traditional car maintaining system such as higher cost. Apart from that there
is no way to know if the parts of the car are in perfect health or need immediate replacement.
The IoT driven maintaining system will help to eliminate these problems. It will reduce the
service cost. Apart from that the smart system driven by IoT can analyse the driving
behaviour of the driver of the car and can take action on the basis of the Analysis.
The inclusion of the other features like giving suggestions to the owners about taking
the right maintenance steps in the basis of the problem can be implemented. The solution
should be affordable so that most of the people can afford the facility.
Anand, T. M., Banupriya, K., Deebika, M., Anusiya, A., Anand, T. M., Banupriya, K., ...
& Anusiya, A. (2015). Intelligent transportation systems using iot service for
vehicular data cloud. International Journal for Innovative Research in Science
and Technology, 2(2), 80-86.
The aim of the paper is to develop a smart car those will incorporate with the transportation
system. Apart from that the use of the smart cars can be managed easily, so that the traffic
can be controlled more effectively.
The paper have some limitations too as the authors have collected secondary data instead of
primary data. ITS-Cloud has been proposed for the further improvement of the system. Urban
traffic control system driven by IoT can be derived from this system.
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14IOT IN AUTOMOBILE INDUSTRY
Shinde, P. A., & Mane, Y. B. (2015, January). Advanced vehicle monitoring and
tracking system based on Raspberry Pi. In 2015 IEEE 9th International
Conference on Intelligent Systems and Control (ISCO) (pp. 1-6). IEEE.
The author has written in their paper that with the help of the IoT the improvement of the
automobile industry has been achieved. The IoT can be used for the theft detection of the
stolen car. The paper has proposed a smart system that would help the owners of the car in
smart theft detection.
The system is compatible using the Linux devices. However, the future development of the
system can make it compatible with another OS. The intercommunication feature can be
developed in the future modification. The paper has some limitations too as the authors have
collected secondary data instead of primary data.
Bhosale, S. T. IoT Based Cars: A Paradigm Shift in Automobile Industry.
In his paper Bhosale have discussed the present scenario of Automobiles are performed in
this journal. Basic definition of the terminologies required for better understanding of the
project is also provided. This journal article discusses about the responding processes of the
IOT based framework to the security issues that might arise in the system. Governance
challenges are also present in the management of the automobile systems that are related to
the implementation of the IOT based technology.
The paper has some limitations too as the authors have collected secondary data instead of
primary data.
Morabito, R., Petrolo, R., Loscri, V., Mitton, N., Ruggeri, G., & Molinaro, A. (2017,
May). Lightweight virtualization as enabling technology for future smart cars.
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15IOT IN AUTOMOBILE INDUSTRY
In 2017 IFIP/IEEE Symposium on Integrated Network and Service Management
(IM) (pp. 1238-1245). IEEE.
The authors have discussed in their paper that RFID is a technology that is used in smart cars
that uses the technology of the identification of objects with the help of the radio waves as
well as performing the management of the wireless data transmission. An interaction in
between the utilization of the sensor management as per the requirement of the automated
parking system.
The paper does have some drawbacks. The sole recommendation that can be provided
incudes better implementation of the RFID system. Vehicle owners need not pay in cash the
amount that is required in travelling purpose.
Dokic, J., Müller, B., & Meyer, G. (2015). European roadmap smart systems for
automated driving. European Technology Platform on Smart Systems Integration,
39.
This journal provides a better understanding regarding the processing of the activity fields.
This journal also deals with the management of the Roadmap structure that helps in better
prosecution of the AI based management processing. Basic infrastructure of the IOT based
automated car is also discussed.
The paper does have some limitations too. Further progress in technical aspect is
required. Legal framework for proper testing process is used.
Jang, S. J. (2017). Development Trend of Operating System Technology for Smart
Car. technology, 3(01). Summary

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This journal discusses about the implementation of the platform of IOT in the field of
automated vehicles. A precise comparison in between the brands of the automobile market is
performed.
The paper does have some drawbacks. Usage of Google OS partners must eb
implemented in a vast manner. Reduce the usage of the Microsoft platform.
Karbab, E., Djenouri, D., Boulkaboul, S., & Bagula, A. (2015, May). Car park
management with networked wireless sensors and active RFID. In 2015 IEEE
International Conference on Electro/Information Technology (EIT) (pp. 373-378).
IEEE.
In their paper Karbab et al., 2015 stated that the automated car parking management. This
aspect ensures that better management of the project is performed with the help of the 12C
protocol system. Usage of proposed CFO module helps in better function of the automated
car and hence parking process gets easier.
The paper does have some limitations too as the authors have worked on secondary
data instead of primary data. The Usage of wireless mote will not be much cost efficient in
nature Clustering of a bunch of spots must be performed.
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17IOT IN AUTOMOBILE INDUSTRY
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18IOT IN AUTOMOBILE INDUSTRY
Bibliography:
Anderson, E. C., Obayi, A. A., & Okafor, K. C. (2017). Awareness Analysis of smart car
parking system in heterogeneous high density clusters.
Bhosale, S. T. IoT Based Cars: A Paradigm Shift in Automobile Industry.
Bonomi, F. (2013). The smart and Connected Vehicle and the Internet of Things. In Invited
Talk, Workshop on Synchronization in Telecommunication Systems.
Anand, T. M., Banupriya, K., Deebika, M., Anusiya, A., Anand, T. M., Banupriya, K., ... &
Anusiya, A. (2015). Intelligent transportation systems using iot service for vehicular
data cloud. International Journal for Innovative Research in Science and
Technology, 2(2), 80-86.
Dhall, R., & Solanki, V. (2017). An IoT Based Predictive Connected Car
Maintenance. International Journal of Interactive Multimedia & Artificial
Intelligence, 4(3).
Shinde, P. A., & Mane, Y. B. (2015, January). Advanced vehicle monitoring and tracking
system based on Raspberry Pi. In 2015 IEEE 9th International Conference on
Intelligent Systems and Control (ISCO) (pp. 1-6). IEEE.
Djenouri, D., Boulkaboul, S., & Bagula, A. (2015, May). Car park management with
networked wireless sensors and active RFID. In 2015 IEEE International Conference
on Electro/Information Technology (EIT) (pp. 373-378). IEEE.
Dokic, J., Müller, B., & Meyer, G. (2015). European roadmap smart systems for automated
driving. European Technology Platform on Smart Systems Integration, 39

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19IOT IN AUTOMOBILE INDUSTRY
Jang, S. J. (2017). Development Trend of Operating System Technology for Smart
Car. technology, 3(01).
Morabito, R., Petrolo, R., Loscri, V., Mitton, N., Ruggeri, G., & Molinaro, A. (2017, May).
Lightweight virtualization as enabling technology for future smart cars. In 2017
IFIP/IEEE Symposium on Integrated Network and Service Management (IM) (pp.
1238-1245). IEEE.
Zhang, Y., Liu, S., Liu, Y., Yang, H., Li, M., Huisingh, D., & Wang, L. (2018). The ‘Internet
of Things’ enabled real-time scheduling for remanufacturing of automobile
engines. Journal of Cleaner Production, 185, 562-575
Anderson, E. C., Obayi, A. A., & Okafor, K. C. (2017). Awareness Analysis of smart car
parking system in heterogeneous high density clusters.
Bhosale, S. T. IoT Based Cars: A Paradigm Shift in Automobile Industry.
Bonomi, F. (2013). The smart and Connected Vehicle and the Internet of Things. In Invited
Talk, Workshop on Synchronization in Telecommunication Systems.
Anand, T. M., Banupriya, K., Deebika, M., Anusiya, A., Anand, T. M., Banupriya, K., ... &
Anusiya, A. (2015). Intelligent transportation systems using iot service for vehicular
data cloud. International Journal for Innovative Research in Science and
Technology, 2(2), 80-86.
Dhall, R., & Solanki, V. (2017). An IoT Based Predictive Connected Car
Maintenance. International Journal of Interactive Multimedia & Artificial
Intelligence, 4(3).
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20IOT IN AUTOMOBILE INDUSTRY
Shinde, P. A., & Mane, Y. B. (2015, January). Advanced vehicle monitoring and tracking
system based on Raspberry Pi. In 2015 IEEE 9th International Conference on
Intelligent Systems and Control (ISCO) (pp. 1-6). IEEE.
Djenouri, D., Boulkaboul, S., & Bagula, A. (2015, May). Car park management with
networked wireless sensors and active RFID. In 2015 IEEE International Conference
on Electro/Information Technology (EIT) (pp. 373-378). IEEE.
Dokic, J., Müller, B., & Meyer, G. (2015). European roadmap smart systems for automated
driving. European Technology Platform on Smart Systems Integration, 39
Jang, S. J. (2017). Development Trend of Operating System Technology for Smart
Car. technology, 3(01).
Morabito, R., Petrolo, R., Loscri, V., Mitton, N., Ruggeri, G., & Molinaro, A. (2017, May).
Lightweight virtualization as enabling technology for future smart cars. In 2017
IFIP/IEEE Symposium on Integrated Network and Service Management (IM) (pp.
1238-1245). IEEE.
Zhang, Y., Liu, S., Liu, Y., Yang, H., Li, M., Huisingh, D., & Wang, L. (2018). The ‘Internet
of Things’ enabled real-time scheduling for remanufacturing of automobile
engines. Journal of Cleaner Production, 185, 562-575
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