Title :
Autonomous vehicles — The future of electric mobility?
Author_Institution :
Fac. of Environ. Appl. Sci. & Manage., Ryerson Univ., Toronto, ON, Canada
Abstract :
While there is great interest in predicting market prospects for electric vehicles, most results to date have been notoriously inaccurate. A better approach, set out in the present paper, may be to look at broader social trends and consider a wider range of vehicle systems and personal mobility models. Following clear trends in military vehicle technology, this model may well show an increased shift to autonomous vehicles which offer many advantages of energy efficiency, improved driver and public safety and reduced GHG and other emissions. The rationale for this trend, along with a survey of the technology and some predictions for the future are discussed?
Keywords :
artificial intelligence; electric vehicles; market research; GHG emission reduction; autonomous vehicles; electric mobility; electric vehicles; military vehicle technology; personal mobility models; public safety; Batteries; Biological system modeling; Cities and towns; Industries; Market research; Mobile robots; Vehicles; Microcars; autonomous vehicles; driverless vehicles;
Conference_Titel :
Electric Vehicle Symposium and Exhibition (EVS27), 2013 World
Conference_Location :
Barcelona
DOI :
10.1109/EVS.2013.6914868