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Autonomous Traffic System

Subject: MIS602: Data Modelling & Database Design

Word count: 3200

$55.00 $50.00

Autonomous, driverless, or robotic vehicles has been envisioned by futuristic for about more than a decade now and is still under the most researched and controversial for its purpose. The research first started off at 1980 where the autonomous was only possible for the need of special roads such as highways. Onwards, DARPA (Defense Advanced Research Projects Agency) held challenges to showcase autonomous technology at various places. More recently from 2012 to today, private companies such as Google, Toyota, Nissan etc. have tested autonomous vehicle and made it available for sale (Anderson, et al., 2016). Tesla has been working on this technology for several years and launched an auto-pilot car on October 2015. Big companies such as BMW, Mercedes and Apple have now started experimenting with this technology. A four billion dollars fund was proposed by Obama for development of these vehicles  (Brodsky , 2016).

 

The vehicles have been made and tested yet still saying that these autonomous vehicles will now build up to make a system is too early.  It is still a mystery that how these autonomous vehicles will fit into this existing framework and legislation and currently how these vehicles will adapt on public road  (Brodsky , 2016). The House of Representatives approved H.R. on 6 September 2017, SELF DRIVE Act, which precluded States from controlling autonomous vehicle construction and extended the authority of NHTSA (National Highway Traffic Safty Administration) to issue exemptions from the traditional requirements. The law mandated each autonomous vehicle manufacturer to request certification for the safety evaluation demonstrating how safety is handled, and to create and publicize their information protection and data privacy policies for customers  (Lau & Haugh, 2018).

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