Quantitative Risk Analysis of Automated Vehicles: Opportunities and Challenges in Unregulated Markets

Overview

This paper applies quantitative risk analysis methodology to examine automated vehicles (AVs) as an emerging technology. It systematically identifies risks including regulatory gaps, accident vulnerability, cybersecurity threats, and infrastructure inadequacy, while also analyzing opportunities such as environmental benefits and economic efficiencies.

What this coursework covers

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Business and Management

Student’s Name

Institution

Quantitative risk analysis (QRA)

Step 1: Defining Alternatives

It is no longer science fiction as Automated Cars, otherwise known as self-driven cars are here with people. The idea behind these cars is that they will be autonomous. This means that there will be no need for drivers or manual control as they will be controlled entirely through technology. It is a new technology that is being embraced all over the world (Litman, 2017). Notably, developed cities like London are trying this technology, which is billed to be a game-changer in the world of automobiles. There are however risks involved with technology such as;

Step 2: Define the Problem and Criteria

This industry of Automatic Vehicles in unregulated. It, therefore, means that many companies will come up to manufacture these vehicles. Moreover, it should be noted that there is no much information about this industry which may make consumers to be duped as they get to purchase these vehicles. The industry may be good for manufacturers since it is unregulated, but it may not be that good for consumers as they may be getting to what they do not know (Millard-Ball, 2018). It would be important for buyers to have information before purchasing AV cars.

Step 3: Establish Priority amongst Criteria Using Pairwise Comparison

Accidents is the other risk that is associated with the AC cars. London roads have not yet been made in a way that they can accommodate these self-driven cars.