Autonomous Driving Perception Algorithms and Urban Mobility Technologies in Smart Transportation Systems
Autonomous Driving Perception Algorithms and Urban Mobility Technologies in Smart Transportation Systems
Author(s): Linda Green, Natalia A. ZhuravlevaSubject(s): Social development
Published by: Addleton Academic Publishers
Keywords: autonomous driving; smart; urban; mobility; perception algorithm
Summary/Abstract: Empirical evidence on autonomous driving perception algorithms and urban mobility technologies in smart transportation systems has been scarcely documented in the literature. The data used for this study was obtained and replicated from previous research conducted by Adobe Analytics, ANSYS, Atomik Research, AUVSI, Brookings, Capgemini, Charles Koch Institute, Deloitte, eMarketer, GenPop, Ipsos, Kennedys, McKinsey, Perkins Coie, Pew Research Center, SAE, and Statista. We performed analyses and made estimates regarding sustainable mobility and urban public transport systems. Data collected from 6,400 respondents are tested against the research model. 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: 1
- Page Range: 71-80
- Page Count: 10
- Language: English
- Content File-PDF