MP2 Current Events #1

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Brandon Wilson
MP2 CE#1
October 15, 2018

Uber-funded research project pushes new ways to measure safety of driver-less cars

1) The data represents the development of driver-less cars that are more safe. There are many things that needed to be in consideration when working with this kind of technology. Some of these are brought up in the article and states," How much space does the driver-less car leave between itself and cars to the front and sides? How much more cautious does it become when its sensors are obscured or sightlines are bad? How often does it jerk out of the way of another car or slam on the brakes, either because of its own shortcomings or the poor driving of others nearby?"

2) Some trends within the data include the research being launched after an accident with a driver-less Uber struck and killed a pedestrian in Temple, Ariz, in March. This accident "heightened public concerns about the trustworthiness of the technology and the speed with which some firms are pushing its deployment on public roads." The expansion on safety measures has been implemented on the research because of this. 

3) Data analysis is crucial for any circumstance because it allows you to better understand what you are analyzing. Better understanding something will allow you to extract more then basic data from what you analyzed. It would also clear any misunderstandings you have about it and allow you to explain it clearly to others.

“Uber-Funded Research Project Pushes New Ways to Measure Safety of Driverless Cars.” The Washington Post, WP Company, 11 Oct. 2018, www.washingtonpost.com/local/trafficandcommuting/uber-funded-research-project-pushes-new-ways-to-measure-safety-of-driverless-cars/2018/10/10/525f96ce-cca0-11e8-a3e6-44daa3d35ede_story.html?utm_term=.8383cb7f2561.

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