The Algorithmic Governance of Smart Mobility: Regulatory Mechanisms for Driverless Vehicle Technologies and Networked Automated Transport Systems.

• Author: Putnam, Dermot

1. Introduction

   Individuals' approaches shape how swiftly a breakthrough technology is embraced, consequently having an impact upon how satisfactorily the upsides developing out of self-driving cars can be accomplished. (Liljamo et al., 2018) As regards inevitable road traffic collisions, artificial driving intelligence will make a computed resolution that may correspond to determining who remains alive and who passes away. The question is whether the driving intelligence necessitates moral reason and a faculty to make judicious ethical decisions. (Cunneen et al., 2019)

2. Conceptual Framework and Literature Review

   The degree of cognizance of autonomous vehicles, user creativity, safety, confidence in unknowns, environmental issues, relative convenience, like-mindedness, intricacy, subjective criteria, self-reliance, and driving-related seeking scale may influence behavioral impulsion to ride in autonomous vehicles. (Gkartzonikas and Gkritza, 2019) Self-driving cars aim to make traffic more protected, but their public assimilation presents ethical challenges, as it is unclear what behavior of autonomous vehicles is morally adequate in grave traffic circumstances when repercussions are only chancily identified (a situation of risk) or even unestablished (a situation of uncertainty). (Meder et al., 2019)

3. Methodology and Empirical Analysis

   Using and replicating data from AUVSI, Capgemini Research Institute, Ipsos, McKinsey & Co., Perkins Coie, Pew Research Center, and Statista, we performed analyses and made estimates regarding the biggest obstacle to the growth of autonomous vehicles in the next five years (safety concerns/price of investment/cyber-security or data privacy concerns/consumer readiness to adopt/lack of a regulatory framework/infrastructure issues/creating and implementing digital city mapping platforms with easy-to-update features) and city infrastructure requirements that need immediate attention so that autonomous vehicle technology testing/implementation can be facilitated further (upgrade highways and thoroughfares with smart technology for road signs, traffic lights, and merge lanes/ensure lane markings on city streets are visible and consistent/optimize intersections and streetscapes/upgrade pedestrian accommodations/upgrade parking areas). The results of a study based on data collected from 4,800 respondents provide support for our research model. Using the structural equation modeling and employing the probability sampling technique, we gathered and analyzed data through a self-administrated questionnaire.

4. Results and Discussion

   The broad proliferation of autonomous vehicles on road networks should result in a reduced amount of collisions, diminished vehicle emissions, superior fuel economy, and enhanced output while riding in...