Driving Car Control Algorithms in Smart Sustainable Urban Mobility Systems
Driving Car Control Algorithms in Smart Sustainable Urban Mobility Systems
Author(s): Barbara Woodward, Tomáš KlieštikSubject(s): Social development
Published by: Addleton Academic Publishers
Keywords: perception sensor data; decision-making algorithm; intelligent transportation application; autonomous vehicle; smart sustainable urban mobility system
Summary/Abstract: Based on an in-depth survey of the literature, the purpose of the paper is to explore intelligent transportation applications, autonomous vehicle perception sensor data, and decision-making self-driving car control algorithms in smart sustainable urban mobility systems. Using and replicating data from AUVSI, Black & Veatch, Brookings, CarGurus, Deloitte, Ipsos, Kennedys, McKinsey, MRCagney, Perkins Coie, Reuters, and SAE, we performed analyses and made estimates regarding how connected and autonomous vehicles will reduce traffic crashes by routing and navigating decisions in terms of smart traffic data, sensing technologies, traffic management and analytics, and automotive radar techniques across sustainable smart transport and mobility systems. 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: 51-64
- Page Count: 14
- Language: English
- Content File-PDF
