1.

Record Nr.

UNINA9910411934003321

Titolo

Road Vehicle Automation 7 [[electronic resource] /] / edited by Gereon Meyer, Sven Beiker

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020

ISBN

3-030-52840-5

Edizione

[1st ed. 2020.]

Descrizione fisica

1 online resource (VIII, 172 p. 41 illus., 39 illus. in color.)

Collana

Lecture Notes in Mobility, , 2196-5544

Disciplina

629.2549

Soggetti

Transportation engineering

Traffic engineering

Public policy

Engineering economics

Engineering economy

Transportation Technology and Traffic Engineering

Public Policy

Engineering Economics, Organization, Logistics, Marketing

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Part I: Public sector Activities -- Japan’s SIP-adus Program on Road Vehicle Automation -- Developing End-to-End Regulation for Automated Vehicles in Australia -- Part II: Business Models and Operations -- Business Models for Shared and Autonomous Mobility -- Enabling Transportation Network: From Individual Vehicle Motion Control to Network Fleet Management -- Catching Up with Low-Speed Autonomous Shuttles -- Part III: Users and Human Factors -- What the Public Really Thinks About Automated Vehicles: Evidence from Survey Research -- Societal Expectations from Automated Road Mobility: Results of a Survey in Germany -- Democratising driverless futures: Five lessons for public dialogue on Avs -- Automated Vehicles & Vulnerable Road Users: Representing the Under-Represented.

Sommario/riassunto

This book is the seventh volume of a sub-series on Road Vehicle Automation, published as part of the Lecture Notes in Mobility. Written by researchers, engineers and analysts from around the globe, the



contributions are based on oral and poster presentations from the Automated Vehicles Symposium (AVS) 2019, held on July 15–18, 2019, in Orlando, Florida, USA. The book explores public sector activities, human factors aspects, vehicle systems and other related technological developments, as well as transportation infrastructure planning, which are expect to foster and support road vehicle automation.