The Design, Implementation, and Operation of Self-Driving Cars: Ethical, Security, Safety, and Privacy Issues.

• Author: Mircica, Nela

1. Introduction

   Using self-driving cars on public roads may bring about enhanced coherence and safety, necessitating understanding the intent of car users and coming to terms with their driving styles. (Schwarting et al., 2019) Comfortable and streamlined road transport systems will beneficially shape human health and welfare on a large scale. (Salmon, 2019) Autonomous vehicle technologies will generate transformative organization of the whole transportation system (Ryerson et al., 2019), being instrumental in establishing the safety of public roads. (Cui et al., 2019) Data gathering to determine liability issues should be set against the rights of information ownership and privacy of car users. (Bellet et al., 2019)

2. Conceptual Framework and Literature Review

   Self-driving cars must operate in safe and reliable manners without involving detailed data sharing. (Schwarting et al., 2019) Evolving wireless communication technologies have influenced the advancement of connected transportation settings in which cars can share data among them and with the encompassing infrastructure, e.g. safety-related information or traffic-related statistics. (Wang et al., 2019) For insurance firms, the supervision of distinct driver risk is developed to set up an innovative, convenient business pattern (Abakumova and Primierova, 2018; Enderstein, 2017; Fielden et al., 2018; Lazaroiu, 2017; Machan, 2017; Popescu, 2018; Popescu et al., 2019) so as to precisely assess premiums, and may be essential to the settlement of liability claims. (Bellet et al., 2019) Connected and autonomous vehicles may massively enhance road safety by removing the human car user from of the driving task, but the assessment of their safety consequences is difficult because of the absence of actual connected and autonomous vehicle exposure information. (Papadoulis et al., 2019)

3. Methodology and Empirical Analysis

   Using and replicating data from Abraham et al. (2017), ANSYS, AUVSI, Atomik Research, Axios, BCG, eMarketer, Ipsos, McKinsey, OpinionWay Research, Perkins Coie, SAE, Schoettle & Sivak (2014), Statista, and World Economic Forum, I performed analyses and made estimates regarding attitudes toward self-driving cars among U.S. adults (%), hardest technologies to hack according to consumers (%), willingness to use automation in vehicles (%), and the top challenges in bringing autonomous vehicles to market (%). Data were analyzed using structural equation modeling.

4. Results and Discussion

   The advancement of autonomous vehicles is mainly fostered by the goal of producing faster, more reliable, and safer cars. (Cui et al., 2019) Taking into account the accelerated intricacy of automotive active safety systems, driver...