In the future all cars, buses and trucks will be driverless. The only people travelling inside vehicles will be passengers. Do you think the advantages of driverless vechiles outweigh the disadvantages?

In
this
era, technology is growing rapidly, and there are some forecasts, that in the future cars, buses and trucks don't need a driver and there will be only passengers in them. In my ,opinion the advantages of
driverless
cars do outweigh the disadvantages. Since
driverless
vehicles can save the cost of logistics and e-commerce
companies
,
moreover
, it will reduce
road
accidents
in future.
Firstly
, e-commerce
companies
such
as Flipkart and Amazon have to pay a significant amount to the logistics team for delivering products to the customer's doorstep.
However
, if there will be a
driverless
vehicle, distribution of the parcels will be very easy and cheap.
Therefore
,
companies
can buy these self-driving vehicles, which will cut the cost of drivers and save plenty of money which they use in reducing the delivery charges of their products,
consequently
,
driverless
automobiles are not only helping the company but
also
consumers.
Secondly
, In electronic media and paper media, we are getting enormous bad news about the
road
accidents
happening around the world, majorly at night,
for example
, in India there are 60% of
road
accidents
happen at night and the major reason for these type of
accidents
are a sleepy driver or not clear vision while driving.
However
, with
this
,technology the percentage of
road
accidents
will not only be going to reduce but
also
save the lives of many. To conclude, by self-driving vehicles we are not saving the cost of
companies
which they are spending on drivers, we are
also
saving lives. We should appreciate these kinds of technologies and adapt them to our regular life.
Submitted by vkworkss on

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Topic Vocabulary:
  • Driverless/autonomous vehicles
  • Traffic fatalities
  • Human error
  • Route optimization
  • Accessibility
  • Eco-friendly
  • Carbon emissions
  • Economic implications
  • Algorithm bias
  • Legal ramifications
  • Skill atrophy
  • Cybersecurity
  • Technological reliance
  • Hacking vulnerabilities
  • Artificial Intelligence (AI)
  • Sensor technology
  • Machine learning
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