1 IntroductionIn this paper the analysis of autonomous driving on highway is presented with the series of results of various experiments based purely on this technology. It’s been 65 years the technology has come a long way from cruise controls to laser based driving to highway autonomy. Autonomous driving on highway can one day boost the capacity of our highways by staggering 273%. Such analysis have not only helped major companies to focus on making highly automated vehicles but also let them grow their market shares as well.2 Analysis of Autonomous Driving2.

1 ReviewLets first try to understand the different areas of application where the autonomous driving has evolved over the past years. The basic operation of autonomous driving is expected to enhance safety and smart use of land to eradicate traffic conditions. This will totally depend the percentage share of such vehicles  in the total vehicle fleets. As per the National Highway Traffic Safety Administration (NHTSA), vehicles which are classified as level 1 can prevent one third of fatalities and crashes on Highways. Some semi autonomous vehicles are nowadays equipped with lane assist, lane departure warning, blind spot indicators, brake assist which already enhanced the driving conditions on highway and boosted the confidence level of drivers.2.2 Predictions and RealityMany people such as T Litman (2013) predicted about how automated vehicles will fill the market and could replace all other manual driven vehicles.

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It also stated that by year 2020 such vehicles shall be for sale, however we have seen that technology has been driven at light speed, with Tesla launching autonomous vehicles for sale in mid 2017. After launching cars, Tesla is also planning to launch trucks which are too semi automated and have been tested to great accuracy on highways. While many companies assure for the accuracy of autonomous driving at Level 5, this is  still to be obtained in real life scenarios.Some vehicles are currently manufactured with partially-automated features level 1. Google Inc. has already demonstrated self-driving with specially designated routes under good weather conditions (Muller 2013). However despite such breakthroughs of self-driving experiments, there are many technical issues that needs to be resolved so that unrestricted self-driving should play its role as one of the most robust travel options under the real-world urban environment (Luettel et al., 2013).

As said by T Litman we are aiming for 2020 for fully autonomous driving on Highways  with NHTSA Level of 5 2.3 AnalysisAt a poll by Market Realist, around 55% of users said that they would by a partial autonomous car whereas 44% users said that they are more likely to buy a fully autonomous car (Level 5).  Such craze within the customer will eventually make the self driving market worth $77 billion by 2025 (By BCG).

The semiconductor industry is also seeing a rising trend. Forecast predicts that for semiconductor market it will be great years ahead, since these are the major electronic parts held responsible for making cars and trucks autonomous.2.4 Levels of Autonomous DrivingAs per National Highway Traffic Safety Administration (NHTSA) there are certain levels. Such are called levels of automations:Level 1: This driver-assistance level means that most functions are still controlled by the driver, but a specific function (like steering or accelerating) can be done automatically by the car.Level 2: Here at least one driver assistance system of “both steering and acceleration/ deceleration using information about the driving environment” is automated, like cruise control and lane-centering.Level 3: Drivers are still necessary in level 3 cars, but are able to completely shift “safety-critical functions” to the vehicle, under certain traffic or environmental conditions. It means that the driver is still present and will intervene if necessary, but is not required to monitor the situation in the same way it does for the previous levels.

Level 4: This is what is meant by “fully autonomous.” Level 4 vehicles are “designed to perform all safety-critical driving functions and monitor roadway conditions for an entire trip.Level 5: This refers to a fully-autonomous system that expects the vehicle’s performance to equal that of a human driver, in every driving scenario—including extreme environments like dirt roads that are unlikely to be navigated by driverless vehicles in the near future. 3.

AcknowledgmentsThe preferred spelling of the word “acknowledgment” in American English is without an “e” after the “g.” Use the singular heading even if you have many acknowledgments. Avoid expressions such as “One of us (S.B.

A.) would like to thank … .” Instead, write “F.

A. Author thanks … .

” Sponsor and financial support acknowledgments are included in the acknowledgment section. For example: This work was supported in part by the US Department of Commerce under Grant BS123456 (sponsor and financial support acknowledgment goes here). Researchers that contributed information or assistance to the article should also be acknowledged in this section. Also, if corresponding authorship is noted in your paper it will be placed in the acknowledgment section. Note that the acknowledgment section is placed at the end of the paper before the reference section.

4.   ConclusionAlthough a conclusion may review the main points of the paper, do not replicate the abstract as the conclusion. A conclusion might elaborate on the importance of the work or suggest applications and extensions. Authors are strongly encouraged not to reference multiple figures or tables in the conclusion—these should be referenced in the body of the paper.5.    ReferencesMuller, J.

(2013) No Hands, No Feet: My Unnerving Ride In Google’s Driverless Car. http://www.forbes.com/sites/joannmuller/2013/03/21/no-hands-no-feet-my-unnerving-ride-ingoogles-driverless-car/print/Yung Hwan Kim Author on https://marroninstitute.nyu.

edu/uploads/content/Kim,YookDevelopment_of_Autonomous_Driving_SystemMarron.pdfMichael Bartl Author on http://www.michaelbartl.com/article/a-review-and-analysis-of-literature-on-autonomous-driving/Naomi Gray on https://marketrealist.com/2017/08/self-driving-cars-what-are-alphabets-competitors-doingLuettel, T., Himmelsbach, M., & Wuensche, H.

(2012). Autonomous ground vehicles-concepts and a path to the future. Proceedings of IEEE,.

pp. 1831-1839.


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