Autonomous Cars

1080 Words3 Pages

Part II The primary reason for autonomous vehicles is road safety. According to researchers at the University of Michigan, 1.8% of all deaths in America each year are the result of car accidents (Sivak), few of which are the result of a mechanical failure (e.g. broken brake line, tire blowout, etc…). Consequently, a majority of these deaths are a product of driver irresponsibility or incapability. Naturally, self-driving cars would remove the driver factor, yet the experience of a weathered driver is often invaluable. The predictive accuracy of such drivers would need to be “exhaustively programmed into a computer” (Sivak). This brings to question the very power and reliability of autonomous cars. Audi, for example, plans to use a camera …show more content…

Currently, 20% of all CO2 emissions rise from road transportation (Hars). This includes all domestic, public, and private uses. Autonomous vehicles will initially be feasible in public systems, such as buses, trolleys, and shuttles, where their prevalence and safety could encourage more and more people to use them. However, according to the 2009 American Community Survey, only 10.9% of people utilize public transportation. Out of these, 97% live in metropolitan areas. It is also important to point out that in some cities, subways or above-ground trains are more widely used than road vehicles. Therefore, the efficiency of public autonomous vehicles will have limited impact on suburban, rural, and even highly urbanized areas. This, in turn, shifts the focus to how these vehicles will affect the fuel efficiency of private vehicles. According to the previously mentioned survey, over 75% of working Americans drive to work alone. If all cars in a specific area are driven by computers, without mistake, the ubiquity of traffic jams and car accidents will decrease drastically. Furthermore, largely due to these daily disturbances, the current commute of the average worker is over 25 minutes (United States of America). Clearly, with over 120 million American commuters, a trip this long is quite problematic when it comes to …show more content…

Currently, the production of these automobiles is very expensive. The lidar laser sensing systems currently used by Google and other competitors costs over $70,000. Then, the system must be mounted and hooked up to other costly equipment of car such as the computer, speed sensors, and hydraulic pumps. Including the price of the modified car, the total cost is currently upwards of $100,000 (Berman). Compared to the current average cost of a new vehicle, about $31,000 according to the Annual Financial Profile of America's Franchised New-Car Dealerships, this price is very high. However, “there is nothing intrinsically cost-prohibitive, in terms of components, in today’s lidar”, the most expensive component (Berman). Currently, lidar is not very common, and Google only trusts one manufacturer, Velodyne. This company aims to mass-produce their systems to decrease the cost of each individual assemblage. In addition, they are attempting to create more efficient, more compact gadgets that are ultimately less expensive. Estimates for future products from this company (without competitors) is a relatively cheap $8,000 (Berman). Conclusively, the price of the self-driving car could range from $30,000-50,000. Over fourteen million new cars are sold in the United States each year (Szakaly), so at least this many people are

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