Autonomous Traffic System

Scenario:
The scenario for this assessment is a hypothetical future system that helps governments to manage
traffic flow in municipal localities. You should imagine that the local Road Traffic Authority has put
out a Request for Proposals (RFP) for appropriately qualified consultants to undertake a body of
work that would help to scope the data requirements for such a system. With your success in your
Torrens University Australia degree so far, and other similar projects that have garnered you some
sustained success in the eyes of the profession and community, you have been shortlisted among no
less than 10 other consultancies. There are expectations from them, then, as to the standard of
report you will produce.
While there has been a tremendous amount of attention given in the media and in scientific circles
to the progression and uptake of autonomous vehicles, their widespread adoption has not yet
proliferated: there are reasons for this that you will need to take into account in your deliverable.
The local Road Traffic Authority is, with several other bodies, lobbying the government on what it
can manage in the emergent world of technological change and the capability of artificial
intelligence. An alternative model has been proposed that the Road Traffic Authority believes to be preferable to autonomous vehicles and it involves a system that would control all non-autonomous,
driverless vehicles through a traffic management and routing system.
For such a system to work, it is necessary that there be no autonomous vehicles on the road, and AIenabled as well as human drivers would be included in such a ban. With the remaining no autonomous, driverless vehicles the only ones left on the road, the system would then be allowed to
control the flow and routing of each and every vehicle by manipulating its speed, direction and
ultimate route to the passengers’ intended destination. The system would control all traffic lights,
lane changing, slowing and acceleration of the vehicles.
The benefits of such a traffic management system are thought to be enormous as the hope is that
the most effective routes can be calculated and that the most efficient traffic flow between those
destinations is streamlined, congestion minimized and safety on the roads improved. But the system
is ambitious and requires a lot of forethought and design elements fed into it before it could be
seriously considered by the government of the day. The Road Traffic Authority seeks consultation
on what the data requirements of such a hypothetical system might be.

Instructions:
There are two objectives of this assessment: for the purposes of the client, the local Road Traffic
Authority, you are to produce a design brief; and, for the purposes of the assessment you are to
produce a reflection. So, this written submission should expertly mix a consultative style—that is,
providing a solution to the problem as outlined by the client—with a deep reflection on what you
have learned in the subject and the potential for such a futuristic system. You will need to use your
judgement on this; it is likely to take several drafts to get right. The deliverable for this assessment is
plainly:

 

Solution

Current Situation: Autonomous Traffic System

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 Safety 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).

 

Autonomous Traffic System Operation

Autonomous Traffic system to be fully operation requires five stage of testing for system to be fully automated and controlled. These stages are:

– Stage 0: Manual cars in which driver needs to do all the tasks.

– Stage 1: Driver controls the driving with some assistance features is introduced example automatic cars.

– Stage 2: Partial automation with automated function of steering and acceleration yet still driver needs to do task and monitor environment.

– Stage 3: Conditional Automation in which driver does not need to monitor the environment but must be ready to take control when needed.

– Stage 4: Vehicle is performing all the driving tasks, but driver must have option to take control (Shuttleworth, 2017).

 

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