Automated Driving from Different Viewpoints

NB: We do not resell your papers. Upon ordering, we do an original paper exclusively for you.

NB: All your data is kept safe from the public.

Table of Contents

Introduction
Main body
Conclusion
Reference List

Introduction

The role of road transport in society cannot be overestimated, but pollution, a growing number of crashes, and other problems make people search for alternatives. A modern automated driving system may resolve these issues, increase safety on the roads, reduce fuel consumption, gas emissions, and traffic congestion (Anderson et al., 2014). However, people are not unanimous about the innovation, so it is necessary to take into account all the possible pros and cons of the technology.

In the article “Public Opinion on Automated Driving: Results of an International Questionnaire among 5000 Respondents”, Kyriakidis, Happee, and de Winter (2015) analyze the willingness, concerns, and acceptance of the users to purchase automated vehicles. With 5000 people from 109 countries participating in the survey, the authors have managed to make conclusions about various points of view, which depend on cross-national differences and personal factors (Kyriakidis, Happee, and de Winter, 2015). The purpose of this summary is to discuss the results of the survey on automated driving, its methods, and findings.

Main body

Generally, the thoughts of experts about the automated driving system differ, as they view various reasons to prove or deny the beneficial influence of the revolutionary driving system. However, it is essential to take into account that the automated driving system may feature various automation levels, depending on the involvement of the human and the capability of the technology. According to Howard and Dai (2014), the fully automated driving system is the best option when it comes to emissions, congestion, and safety.

On the other hand, despite its potential to improve the efficiency of the transportation and safety of the drivers, there are several challenges to overcome, including legal liability, public acceptance, and control of the system (Begg, 2014). Following Kyriakidis’ perspective (2015), these issues need to be taken into consideration as they determine whether people will buy such systems. Moreover, they also define the further development and prosperity of the automated car market. In any instance, the automated driving system may be used as the only effective way to improve transport-related problems.

Purposes and Methods of the Survey Study

The use of partially automated and highly automated driving systems is becoming a common tendency. Therefore, the study is aimed at the investigation of the users’ willingness, acceptability, and concerns about buying vehicles with different levels of automation. Unlike regional research of Schoettle and Sivak (2014a), this study focuses on cross-nation views and differing opinions. Additionally, it is necessary to notice that Kyriakidis, Happee, and de Winter (2015) associate personal traits of character with the thoughts about automated driving.

This may be a relevant contribution to other studies that do not take into account the individual characteristics and personality of the driver during the investigation (Schoettle and Sivak, 2014b). Moreover, the results of the study may be used by stakeholders who are involved in the development of the automated car market.

The survey became the method of the study, as it gives distinct information not only about the respondent’s opinion, but his age, gender, nationality, profession, and similar facts. According to Kyriakidis, Happee, and de Winter (2015), 5000 people filled in a 63-question online survey, providing their attitudes to automated vehicles. The survey was fully anonymous, and each respondent received instructions with necessary definitions and other explanations. Besides, the respondent had to mention his/her age, gender, driving mileage, frequency, and accident involvement. The analysis of the answers was conducted on two levels: individual and international, which helped to analyze the situation and make conclusions.

Key Findings of the Study

The results of the study show the prevailing, cross-nation attitude towards the automated driving system. As Kyriakidis, Happee, and de Winter (2015) imply, the overwhelming majority of respondents consider manual driving mode the most enjoyable and safe. The answers differed significantly, with 22% of people who were not ready to pay for the automated driving system. However, 5% of respondents would spend more than $30,000 on the innovative system, and 33%, who enjoy the idea of automated driving (Kyriakidis, Happee, and de Winter, 2015). The study proves the previous findings of de Winter et al. (2015) about an opportunity to drive fully automated vehicles on the majority of public roads by the year 2030.

There are also numerous concerns about the new driving system, including software misuse/hacking, safety, and legal issues. The results of the survey also show that people from developed countries (in terms of higher educations, lower accident rate, and higher income) are not comfortable with the car transmitting data.

Conclusion

In conclusion, the findings of the study emphasize the most robust correlation coefficient between mileage, income, current ACC use, and frequency of driving, on the one hand, and desire to spend money on the other. The author elaborates that respondents are willing to pay for automated driving systems, but only the ones who drive more (Kyriakidis, Happee, and de Winter, 2015). The presented results show the key areas of concern, as well as preferences among the international public. The information collected with the online survey helped to analyze the willingness of people to buy automated vehicles and their attitude towards possible issues.

Reference List

Anderson, J. M. et al. (2014) Autonomous vehicle technology: A guide for policymakers. Santa Monica: Rand Corporation.

Begg, D. (2014) A 2050 vision for London: What are the implications of driverless transport. Web.

De Winter, J. C. F. et al. (2015) Using CrowdFlower to study the relationship between self-reported violations and traffic accidents. In Proceedings of the 6th applied human factors and ergonomics (AHFE) international conference, Las Vegas, Nevada.

Howard, D. and Dai, D. (2014). ‘Public perceptions of self-driving cars: The case of Berkeley, California’. Transportation research board 93^rd annual meeting, Washington, DC.

Kyriakidis, M., Happee, R. and de Winter, J. C. (2015). ‘Public opinion on automated driving: Results of an international questionnaire among 5000 respondents’. Transportation research part F: traffic psychology and behavior, 32(8), pp. 127-140.

Schoettle, B. and Sivak, M. (2014a). A survey of public opinion about autonomous and self-driving vehicles in the U.S., the U.K., and Australia. University of Michigan, Transportation Research Institute. Web.

Schoettle, B. and Sivak, M. (2014b). Public opinion about self-driving vehicles in China, India, Japan, the U.S., the U.K., and Australia. University of Michigan, Transportation Research Institute. Web.

Click Here To Order Now!