Carpooling and the Economics of Self-Driving Cars
Michael Ostrovsky and
Michael Schwarz
Additional contact information
Michael Schwarz: Microsoft
Research Papers from Stanford University, Graduate School of Business
Abstract:
We study the interplay between autonomous transportation, carpooling, and road pricing. We discuss how improvements in these technologies, and interactions among them, will affect transportation markets. Our main results show how to achieve socially efficient outcomes in such markets, taking into account the costs of driving, road capacity, and commuter preferences. An important component of the efficient outcome is the socially optimal matching of carpooling riders. Our approach shows how to set road prices and how to share the costs of driving and tolls among carpooling riders in a way that implements the efficient outcome.
Date: 2018-02
New Economics Papers: this item is included in nep-des, nep-gth, nep-pay, nep-tre and nep-ure
References: Add references at CitEc
Citations: View citations in EconPapers (18)
Downloads: (external link)
https://www.gsb.stanford.edu/gsb-cmis/gsb-cmis-download-auth/458091
Our link check indicates that this URL is bad, the error code is: 404 Not Found
Related works:
Working Paper: Carpooling and the Economics of Self-Driving Cars (2018) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ecl:stabus:3636
Access Statistics for this paper
More papers in Research Papers from Stanford University, Graduate School of Business Contact information at EDIRC.
Bibliographic data for series maintained by ().