Sunday, April 5, 2015

Journal 6---Qiyang Luo

Journal 6
      Urmson argues that self-driving vehicles are important for the future since traffic accidents which are due to human error has still been a threathe for human beeings. The rate of traffic death is still rising. The solution for this problem is to promote policy of self-driving vehicles. However, we can not rely on technology on some filds. Someone argues that can this vehicle meet the people requirements on driving, like the best path to the destination. In contrast to that point, self-driving vehicles can make our life more convenient and be a good news for disable which some people cannot drive the car in their regular life on my side.
      After working a whole day, the feelling of tired will increase the rate of traffic accidents. But if the car has the self-driving function, we could stay in the car and have a good rest. That will be suitable than driving to home by ourself. A automatic vehicles not only save our time on driving, but also optimize our time between work and rest. That is awesome! For example, you want to enjoy breakfast when you are on the way to commpany. The automatic car can help you to tackle this problem.
      In addtion, self-driving vehicless can help disable have a regular life on driving since the car will drive you to destination safty and fastly due to digital map.Given the history of vehicles, the company always spend money on how fast the car can ran, however sometimes they ignore a group who has trouble in driving. These cars will dramaticly make the disable’s life convenient.

      In a word, there are amouts of benefits oft the technology of self-driving vehicles, like optimize our time and let more disable can have a regular life. It will significantly change our concept to vehicles which is operated by humanity. 

1 comment:

  1. If the automated cars could become same as what you said, they will make people more convenient exactly. However, as you known, the self-driving cars work through the digital data. If the data get wrong, the danger is large than before.

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