IOT in Artificial Cars: Implementation, Risks and Mitigation Strategies

This study delves into the implementation of Internet of Things in manufacturing artificially intelligent cars, the risks involved and the mitigation strategies. It covers the components required, safety measures, ethical issues and compliance requirements. The study also includes a project plan, risk analysis, and work breakdown structure.

Running Head: IOT IN ARTIFICIAL CARS
IOT in artificial cars
Name of the Student
Name of the University
Author note

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IOT IN ARTIFICIAL CARS
Table of Contents
Rationale.....................................................................................................................................................2
Problem domain..........................................................................................................................................2
Purpose and justification.............................................................................................................................2
Research Questions.....................................................................................................................................3
Methodology...............................................................................................................................................4
Ethical Issues...............................................................................................................................................4
Compliance Requirements...........................................................................................................................4
Analysis of data...........................................................................................................................................5
Project Plan.................................................................................................................................................5
Duration...................................................................................................................................................5
Work breakdown structure (WBS)..............................................................................................................7
Risk Analysis...............................................................................................................................................7
Gantt chart...................................................................................................................................................9
References.................................................................................................................................................10

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IOT IN ARTIFICIAL CARS
Rationale
Usage of Internet of Things in the field of manufacturing vehicles is one of the most evolutionary
projects that is performed in the recent time. Implementation of Internet of Things will incur the fact that
will be manufactured will be smart in nature. Initiating of the project also leads to the fact that artificially
intelligent cars that are manufactured in the process will be automated or semi-automated in nature
(Solorio, Garcia-Bravo & Newell, 2018). Implementation of internet of things will also ensure that the
cars that are manufactured can take their own decision regarding controlling and parking of the car itself.
Owner of the car need not worry about the controlling of the car and the owner can complete his personal
works inside the car during the time of travel.
Problem domain
Major problem of this kind of automated cars are due to the fact that the sensors that are used in
the car are very highly sensitive in nature. This leads to the fact that any interference that comes their way
gets traced. This misleads the automated car in various ways as they even detect environmental change as
manual changes and gets misguided by the high intensity sensors (Yousuf et al., 2016). Despite being
highly intelligent the driverless cars are never fully automated in nature, hence if the owner of the car
leaves the car on its own, security issues might arise in the completion of the process.
Purpose and justification
Major reason for conducting the project on this topic is that implementation of Internet of Things
has been one of the most evolutionary technology that is used in the project. Despite this topic being very
famous and interesting, almost 70% of the global audience is unaware of the emerging technology. This
project that I will be performing and scripting, will help the global audience to get accustomed with the
project. This project will also shed light on the bright as well as the dark aspect of the project. This leads
to the fact that audience who does not have enough knowledge regarding this technology will gain
descriptive and precise knowledge regarding the subject which will help them to get accustomed with the
technology.

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IOT IN ARTIFICIAL CARS
Sponsor or Supervisor recommendation A
According to me the only recommendation that I should be giving is that the cost of automated
vehicles must be reduced in order to make it affordable for the normal clients. The major fact is that a
large audience is unaware of this technology so education must be provided to audience in order to sell
their products as product awareness increases the brand loyalty.
Research Questions
RQ1: What are the components that are required for manufacturing of automated cars?
RQ2: what is the safety measures that are take in the processing of the artificial cars?
Conceptual or Theoretical Framework
Fig: Automated car
(Hossai , Shahjalal & Nuri , 2017)
Video camera is present in the car, LIDAR technology is also used in this project, Position estimator is
also present in this car in the tyres, distance measuring sensors a reals used in this cars. Safety

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IOT IN ARTIFICIAL CARS
measurements that are present in this technology are that it has video camera located in the back side of
the car. This car also has GPS system, with which it can track other cars that are coming their way.
Distance sensors also calculates the distance of the car from other approaching cars.
Methodology
Research and Systems Development method(s)
In this project agile methodology must be used due to the fact that this project is ever evolving in
nature. This will ensure that the terminology will be helpful in completing the project with higher
efficiency. The fact that agile methodology is very flexible in nature, it gets assisted in proper completion
of the project.
Data collection or systems design methods: the data collection method that is used in this project is
primary mode of data collection. This mode will include taking surveys and personal interviews of the
local audience of all age bands. This will require the fact that the data that are achieved during the survey
will help in evaluating the project in a better aspect.
Ethical Issues
Ethical issues that might arise in this project is that the projects that is present in performing the
automated car project includes the fact that the amount of money that is spent on performing experiments
regarding the automated car, which can be treated as luxury. This acts as an ethical dilemma for the
government, leading to the fact that this excess expenditure cannot be taken in a wise notation. This again
leads to the fact that money management is the leading ethical problem that arises in the project. Another
major ethical issue that is put forward by the global mass is that the security of the people who has been
using this technology might be at stake as machines might breakdown any moment and massacre can
happen that time.
Compliance Requirements
Manufacturing of an automated cars include several appliances, servers being the most important
aspect of the system. Radars also acts as one of the major appliances that help in prosecution of the

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project. Optics is also another appliance on which the functioning of the entire driverless car is dependent
on. LIDAR is also used as a hardware element in the automated car that implements Internet of things for
execution of the project. GPS is the most important appliance of an automated car. Major reason of this
process being one of the most important aspect is due to the fact that the artificial intelligence of the
automated car is due to the fact that the GPS tracks data from nearby environment. Processor is also an
important aspect of the data management system that is present in the automated car. Wheel speed of an
automated car is one of the most important prospect due to the fact that it measures the speed of the car
and helps the artificial intelligence of the system to calculate the turning angles that are required to
successfully transcript the processing of the car.
Analysis of data
After performing proper analyzing of the data that is collected from the survey that was
conducted initially proves the fact that most of the global audience does not know the concept of the
artificial intelligence usage in the car. They were also not much aware of the usage of Internet of things in
manufacturing of cars. They also did not trusted the automated system that was created by the engineers.
Age band of more than 45 nearly denied the concept of the artificial car as they did not show confidence
in the processing of the handling and controlling of the car.
Project Plan
Duration
Task Name Duration Start Finish
IOT in artificially
intelligent car 57 days Fri 20-07-
18
Mon 08-10-
18
Initializing 7 days Fri 20-07-18 Mon 30-07-
18
project planning 4 days Fri 20-07-18 Wed 25-07-
18
understanding
requirement 1 day Thu 26-07-
18
Thu 26-07-
18
researching 2 days Fri 27-07-18 Mon 30-07-
18
Data collection 19 days Tue 31-07-
18 Fri 24-08-18

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IOT IN ARTIFICIAL CARS
conducting survey 9 days Tue 31-07-
18 Fri 10-08-18
evaluating result of
survey 9 days Mon 13-08-
18
Thu 23-08-
18
taking personal
interview 1 day Fri 24-08-18 Fri 24-08-18
Execution 9 days Mon 27-08-
18
Thu 06-09-
18
buying required
appliances 5 days Mon 27-08-
18 Fri 31-08-18
buying connecting
wires 2 days Mon 03-09-
18 Tue 04-09-18
buying high end
sensors 1 day Wed 05-09-
18
Wed 05-09-
18
assembling the parts 1 day Thu 06-09-
18
Thu 06-09-
18
Risk management 8 days Fri 07-09-18 Tue 18-09-
18
analyzing the risk 2 days Fri 07-09-18 Mon 10-09-
18
calculating the
impact of risks 1 day Tue 11-09-
18 Tue 11-09-18
planning risk
mitigation strategies 3 days Wed 12-09-
18 Fri 14-09-18
Implementing the
same 2 days Mon 17-09-
18 Tue 18-09-18
project closure 14 days Wed 19-09-
18
Mon 08-10-
18
calculating ethical
dilemma 2 days Wed 19-09-
18
Thu 20-09-
18
mitigating ethical
dilemma 12 days Fri 21-09-18 Mon 08-10-
18

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IOT IN ARTIFICIAL CARS
Work breakdown structure (WBS)
IOT in artificially
intelliugent car
Initialising
project planning
understanding
reqiurement
researching
Data collection
conducting survey
evaluating result of
survey
taking personal
interview
Execution
buying required
appliances
buying connecting
wires
buying high end
sensors
assembling the
parts
Risk management
analysing the risk
calculating the
impact of risks
plannig risk
mitigation strategies
Implementing the
same
project closure
calculating ethical
issues
planning agains
them
mitigating ethical
issues
Fig: Work break down structure
(Created by author)
Risk Analysis
Risks Intensity Impact
Accident High Major impact of accident on the
clients are due to the fact that
clients are directly affected and
are affected in high intensity
Faulty manufacture High Faulty manufacture leads to the
fact that the cars that are
manufactured are faulty
internally, leading to the fact
that failure in hardware and
software can be a major issue
Hacking threat High Hacking threat is very high as
the data that are stored in the

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IOT IN ARTIFICIAL CARS
data base of the organization can
be accessed by imposters and
the imposters can stalk easily
Privacy threat Medium Privacy threat of this system is
low as it supports proper data
base security system, leading to
the fact that imposters cannot
gain access to the data base of
the car
External access Low External access to the car
possibility is very low. This is
due to the fact that notification
is sent to the owner once there is
a trial to break its security
framework, both internally or
externally
Theft Low Theft of the car possibility is
really low as proper security
measures are implemented on
this systems

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IOT IN ARTIFICIAL CARS
Gantt chart
ID Task
Mode
Task Name Duration Start Finish Predecessors Resource Names
1 Initialising 7 days Fri 03-08-18 Mon
13-08-18
2 project
planning
4 days Fri 03-08-18 Wed
08-08-18
3
understanding
reqiurement
1 day Thu
09-08-18
Thu
09-08-18
2
4 researching 2 days Fri 10-08-18 Mon
13-08-18
3
5 Data collection 19 days Tue
14-08-18
Fri 07-09-18
6 conducting
survey
9 days Tue
14-08-18
Fri 24-08-18 4
7 evaluating
result of
survey
9 days Mon
27-08-18
Thu
06-09-18
6
8 taking
personal
interview
1 day Fri 07-09-18 Fri 07-09-18 7
9 Execution 9 days Mon 10-09-18Thu 20-09-18
10 buying
required
appliances
5 days Mon
10-09-18
Fri 14-09-18 8
11 buying
connecting
wires
2 days Mon
17-09-18
Tue
18-09-18
10
12 buying high
end sensors
1 day Wed
19-09-18
Wed
19-09-18
11
13 assembling the parts1 day Thu 20-09-18Thu 20-09-1812
14 Risk
management
8 days Fri 21-09-18 Tue
02-10-18
15 analysing the
risk
2 days Fri 21-09-18 Mon
24-09-18
13
16 calculating the impact of risks1 day Tue 25-09-18Tue 25-09-1815
17 plannig risk
mitigation
strategies
3 days Wed
26-09-18
Fri 28-09-18 16
18
Implementing
the same
2 days Mon
01-10-18
Tue
02-10-18
17
19 project closure 4 days Wed
03-10-18
Mon
08-10-18
20 calculating
ethical issues
1 day Wed
03-10-18
Wed
03-10-18
18
21 planning
agains them
2 days Thu
04-10-18
Fri 05-10-18 20
22 mitigating
ethical issues
1 day Mon
08-10-18
Mon
08-10-18
21
29-07 12-08 26-08 09-09 23-09 07-10 21-10
01 July 01 August 01 September 01 October 01 November
Fig: Gant chart and schedule
(Created by author)

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IOT IN ARTIFICIAL CARS
References
Cowdrey, K. W. G., & Malekian, R. (2017). Home automation-an IoT based system to open security
gates using number plate recognition and artificial neural networks. Multimedia Tools and
Applications, 1-30.
Hossai, M. R. T., Shahjalal, M. A., & Nuri, N. F. (2017, February). Design of an IoT based autonomous
vehicle with the aid of computer vision. In Electrical, Computer and Communication
Engineering (ECCE), International Conference on (pp. 752-756). IEEE.
Papadopoulos, G. Z., Matsui, T., Thubert, P., Texier, G., Watteyne, T., & Montavont, N. (2017, May).
Leapfrog collaboration: Toward determinism and predictability in industrial-IoT applications.
In Communications (ICC), 2017 IEEE International Conference on (pp. 1-6). IEEE.
Parodi, A., Maresca, M., Provera, M., & Baglietto, P. (2015, October). An IoT Approach for the
Connected Vehicle. In International Internet of Things Summit (pp. 158-161). Springer, Cham.
Solorio, J. A., Garcia-Bravo, J. M., & Newell, B. A. (2018). Voice Activated Semi-Autonomous Vehicle
Using Off the Shelf Home Automation Hardware. IEEE Internet of Things Journal.
Solorio, J. A., Garcia-Bravo, J. M., & Newell, B. A. (2018). Voice Activated Semi-Autonomous Vehicle
Using Off the Shelf Home Automation Hardware. IEEE Internet of Things Journal.
Yousuf, M., Dailey, D. J., Sundararajan, S., & Kandarpa, R. (2016). Enabling Technologies for Vehicle
Automation. In Road Vehicle Automation 3 (pp. 225-235). Springer, Cham.