Connected Vehicle Technologies, Autonomous Driving Perception Algorithms, and Smart Sustainable Urban Mobility Behaviors in Networked Transport Systems
Connected Vehicle Technologies, Autonomous Driving Perception Algorithms, and Smart Sustainable Urban Mobility Behaviors in Networked Transport Systems
Author(s): Evelyn Johnson, Elvira NicaSubject(s): Social development
Published by: Addleton Academic Publishers
Keywords: smart sustainable urban mobility behavior; connected vehicle technology; networked transport system; perception algorithm;autonomous driving vehicle;
Summary/Abstract: The aim of this paper is to synthesize and analyze existing evidence on connected vehicle technologies, autonomous driving perception algorithms, and smart sustainable urban mobility behaviors in networked transport systems. Using and replicating data from AAA, Abraham et al. (2017), Adobe Analytics, ANSYS, Atomik Research, AUDI AG, AUVSI, Capgemini, CarGurus, CBS Interactive, Ipsos, Nvidia, Perkins Coie, Pew Research Center, TechRepublic, and ZDNet, we performed analyses and made estimates regarding how routing and navigating decisions generated by automated collision avoidance systems across urban driving environments and networked digital infrastructures are optimized by connected vehicle technologies, predictive analytics, and big data-enabled visual perception and recognition. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.
Journal: Contemporary Readings in Law and Social Justice
- Issue Year: 13/2021
- Issue No: 2
- Page Range: 37-50
- Page Count: 14
- Language: English
- Content File-PDF
