Analysis of Artificial Intelligence for Enhanced Driving Safety

This report examines the viability, architectural overview, and technologies required for implementing artificial intelligence to enhance driving safety. It discusses how AI can analyze driver information and behavior to prevent accidents, particularly those caused by drowsiness. The report highlights the use of logical chunking to process driver data efficiently, using short-term memory to analyze driver actions in fixed intervals and provide timely warnings. It also explores the potential for further development using APIs and SDKs, making the system adaptable for various transport modes. Key technologies include cameras, sensors, wireless chips, big data analytics, machine learning, and programming languages like Python, essential for developing and deploying the solution in the automobile industry. The project aims to reduce accidents by addressing driver drowsiness through timely interventions and warnings.

Running head: ARTIFICIAL INTELLIGENCE
Artificial Intelligence
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Viability
It can be said that the use of the artificial intelligence can be most efficient technology
that can be used in order to enhance the process of driving. The artificial intelligence can
easily access and properly analyse the informations of the drivers [3]. Also, as the technology
now is a readily available, hence it can be said that the use of the technology is one of the
most economically viable things that can be implemented. The use of the AI can mostly help
in the sectors that directly use the data generated by the customers.
It can be said that although the use of the artificial intelligence in the present time is
not a tough thing to find, using this in this concept is something new that is to be
implemented. The use of the AI can be found in every sector of the world [5]. The AI systems
are been used by many of the firms like the Google, Facebook and other organisation for the
process of enhancing the technology they are using. It can be said that the use of Artificial
Intelligence can be implemented in each and every sector of the world in the coming future.
Architectural Overview
The use of the AI for the process of implementing and ensuring proper driving
conditions for a diver. The design that is presented in the paper can be said that it is using the
logical chunks. Logical chunking can be explained as an approach which uses the effective
use of the short-term memory by grouping information [1]. That is, it is breaking down the
long strings of information into smaller chunks. In this case, it is using the information of the
drivers’ actions in a fixed interval of time and producing results accordingly. When the driver
is not in action, it uses the previous responses of the driver analyses the same and provides a
result. When driving, continues for more than 15 minutes after the first warning has been
chimed without taking a break, a second warning is given, this time with a louder and more
attentive chime [4]. The warning continues until the driver gives a physical input to stop the

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chime by pressing the OK button on the steering wheel menu control. Thus it can be said that
it is using short-term results for the process of analysing information.
Yes, the project is open and can be used for the process of the evolution. The process
that is explained in the paper can be used for designing the process. Further, development can
be easily done with the help of using the API and other systems [6]. This system can also be
developed for other modes of the transports if developed in a proper manner.
In the process of developing, the monolithic application defines the single-tiered
software in which the user interface and data access code are combined into a
single program from a single platform [2]. Thus, it can be said the software can not only run
using the API and it can download the SDKs or the user can enable it as and on when
required. The system uses the software for the process of enhancing the process of
development of the artificial intelligence.
Technologies required:
In order to run this system in a proper manner, a huge number of modern technologies
have been used. Initially, the major hardware components that are used are a camera, sensors,
wireless chips and others. While in the software part the major concepts of the big data
analytics, machine learning and programming languages like python [1]. In order to properly
develop the solution, there are a number of modern technologies that have been used. All
these technologies are used in order to develop the solution.
The system can be developed in the sectors like the automobile industry. AS the
application is specifically designed for the drivers while they are driving hence the solution
must be deployed in this platform only. This is the major platform can help in the process of
enhancing the driving of the customers [3]. The aim of this project is to hopefully try and

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solve, improve, reduce and hopefully eliminate all accidents on the road due to driver
drowsiness.
References
[1] Russell, Stuart J., and Peter Norvig. Artificial intelligence: a modern approach. Malaysia;
Pearson Education Limited, 2016.
[2] Nilsson, Nils J. Principles of artificial intelligence. Morgan Kaufmann, 2014.
[3] Wenger, Etienne. Artificial intelligence and tutoring systems: computational and
cognitive approaches to the communication of knowledge. Morgan Kaufmann, 2014.
[4] Bond, Alan H., and Les Gasser, eds. Readings in distributed artificial intelligence.
Morgan Kaufmann, 2014.
[5] Hutter, Frank, Lin Xu, Holger H. Hoos, and Kevin Leyton-Brown. "Algorithm runtime
prediction: Methods & evaluation." Artificial Intelligence 206 (2014): 79-111.
[6] Charniak, Eugene, Christopher K. Riesbeck, Drew V. McDermott, and James R.
Meehan. Artificial intelligence programming. Psychology Press, 2014.