Advantages of Self-Driving Cars in Transportation

This article discusses the advantages of self-driving cars in the transportation sector. It explores the use of automated cars, crash algorithm programs, and the reduction of collisions and congestion. The article argues that self-driving cars should be the future of transportation.

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Topic: Should self-driving cars be the future of transportation.
Thesis statement: The advantages that make self-driven cars suitable for the transport sectors
Annotated Bibliography
Burns, L. D. (2013). Sustainable mobility: a vision of our transport future. Nature, 497(7448),
181.
In this article, the author narrates how Joe enjoys the driverless electric car. The vehicles
arrive within a short time and took few minutes to arrive to his destination. The vehicle provides
an excellent environment, he can eat, work while travelling. Further, the article relays some of
these innovations unto the car by an example of self-Driven vehicles that use a computer
program to drive the vehicle. It has come as a surprise to many countries which have not focused
much on technology. The use of automated cars has continued to increase in most developed
Countries as it is fast. For an extended period, the transport sector experienced many challenges
that endangered safety. Also traffics jams and congestion pose challenges to the commuters
affecting their schedules. Indeed the self-driven cars should be the future of the transport sector.
Wolf, Gary. "The data-driven life." The New York Times 28 (2010): 2010.

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Wolf wrote a letter in the New York Times Magazine explaining how electronic device
track human emotions, he explain how trackers or sensors helps to avoid blind spots and errors
of human judgments. The tracker in self-driven cars help in lane changing where they detect
obstacles, reduce speed or initiate emergency brakes more efficient than a human being can do.
Also, the sensors can see far ahead in cases of poor visibility. This accuracy is what self-driven
vehicles entail where people lives are more secured.
Coca-Vila, Ivó. "Self-driving cars in dilemmatic situations: An approach based on the theory of
justification in criminal law." Criminal Law and Philosophy 12.1 (2018): 59-82.
In line with this article journal, the author elaborates the ethical and legal dilemmas poses
on current transport system. The article further explains how crash algorithm programs in self-
driven cars helps in minimizing social damages. The autonomous vehicles use sensors to detect
the surrounding. He further claims that it uses radars, inertial measurement units, and radar to
function effectively. The control system analyzes sensory data in identifying the right navigation
paths, obstacles, and signs. The car automates use computer programs to operate under the
supervision of technology expert.
Stilgoe, Jack. "Machine learning, social learning and the governance of self-driving cars." Social
studies of science48.1 (2018): 25-56.
In this article, “the smart technology is not born smart” the algorithms that control self-
driven cars are kept emerges every time. The author rises one key advantage of self-driven cars
is that it reduces collisions and parking in the central part of the cities. The city with an effective
autonomous car system can manage car parking. According to Jack, expert monitors the
computerized cars and cleverly driven to one place outside the city when the vehicles are not in

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use. Since programs operate the vehicles, they can be parked in an orderly manner hence saving
space and time. Congestion in the cities is one of the significant challenges that most urban
centers face.
Zohn, Jeffrey R. "When robots attack: How should the law handle self-driving cars that cause
damages." U. Ill. JL Tech. & Pol'y (2015): 461.
The author explains an incidence in California where Google self-driven car crash and
cause some damages. The vehicles are automatically triggered when unauthorized person gain
access to these vehicles. Most recently Interpol police and other security agencies have been
tracing lost vehicles that transported in containers far to Africa among different Continent, but
with the adoption of self-driven cars, all will be in control.
Osipychev, Denis. Collision avoidance for autonomous cars based on human intention.
Diss.2015
According to this article, self-driven technology predicts and prevents automobile
collusions. Rapid technology improvement maximizes on the ability to make work simple and
straightforward each day. Competition between the cars manufacturing Company will also
guarantee the most advanced systems developed. The computer installed in the vehicles will be
able to locate the vehicles current location, speed, mechanical condition as monitored by an
engineer using a computer program. Rapid technology growth has many constant changes such a
car racing programs where people can start learning and expand their intellectual capacity.
Google Apples and other big companies have consistently supported technology advancement in
most sectors.

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Sonnenberg, Jan. "Service and user interface transfer from nomadic devices to car infotainment
systems." Proceedings of the 2nd International Conference on Automotive User Interfaces and
Interactive Vehicular Applications. ACM, 2010.
In this article, the challenge with self-driven cars is to develop and infotainment system
that work with user interface to optimize use of drivers. The primary component that enables the
effective running of self-driven cars is the sensor that detects an obstacle and triggers an
emergency. According to Jan, when the sensor fails to respond to traffic signals, roadblocks and
weather condition it may cause a severe accident with a server impact. Security bridge may lead
to hacking of the car and it is a dangerous situation that may lead to car failure and the vehicle
lost. The cars also use GPS which is most cases has not been successful. Also adopting the self-
driven cars will take time as people need to train on how to use the vehicles. Hence changing
from traditional cars to self-driven cars and vice versa may be challenging leading to confusions.

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Work Cited
Burns, L. D. (2013). Sustainable mobility: a vision of our transport future. Nature, 497(7448),
181.
Coca-Vila, Ivó. "Self-driving cars in dilemmatic situations: An approach based on the theory of
justification in criminal law." Criminal Law and Philosophy 12.1 (2018): 59-82.
Osipychev, Denis. Collision avoidance for autonomous cars based on human intention.
Diss.2015
Sonnenberg, Jan. "Service and user interface transfer from nomadic devices to car infotainment
systems." Proceedings of the 2nd International Conference on Automotive User
Interfaces and Interactive Vehicular Applications. ACM, 2010.
Stilgoe, Jack. "Machine learning, social learning and the governance of self-driving cars." Social
studies of science48.1 (2018): 25-56.
Wolf, Gary. "The data-driven life." The New York Times 28 (2010): 2010.
Zohn, Jeffrey R. "When robots attack: How should the law handle self-driving cars that cause
damages." U. Ill. JL Tech. & Pol'y (2015): 461.

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