Autonomous Vehicle Decision-Making Algorithms and Data-driven Mobilities in Networked Transport Systems
Autonomous Vehicle Decision-Making Algorithms and Data-driven Mobilities in Networked Transport Systems

Summary/Abstract: This article presents an empirical study carried out to evaluate and analyze autonomous vehicle decision-making algorithms and data-driven mobilities in networked transport systems. Building my argument by drawing on data collected from AAA, Accenture, ANSYS, APA, Atomik Research, AUVSI, BikePGH, Black & Veatch, Brookings, CARiD, eMarketer, MRCagney, Perkins Coie, and Pew Research Center, I performed analyses and made estimates regarding Internet of Things-assisted smart logistics transportation. Data collected from 5,400 respondents are tested against the research model. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.

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