Ideal Enforcement: How Do We Achieve Optimal Enforcement of Traffic Law as Ubiquitous Enforcement Becomes Technologically Conceivable?

26 Pages Posted: 27 Nov 2024 Last revised: 4 Dec 2024

See all articles by Bryant Walker Smith

Bryant Walker Smith

University of South Carolina - Joseph F. Rice School of Law; Stanford Law School Center for Internet and Society

Jeffrey Michael

John Hopkins University

Johnathon P. Ehsani

Johns Hopkins University

Date Written: February 04, 2022

Abstract

This article uses traffic law as a case study for how how automated enforcement and private enforcement could dramatically increase overall enforcement -- and presents concrete principles for an alternative vision of ideal enforcement.

Keywords: enforcement, automated enforcement, artificial intelligence, traffic, automated driving, graduated driver licensing, drunk driving, intoxicated operation, speeding, safe system approach, overenforcement, underenforcement, perfect enforcement, private enforcement, traffic safety, public health

Suggested Citation

Smith, Bryant Walker and Michael, Jeffrey and Ehsani, Johnathon P., Ideal Enforcement: How Do We Achieve Optimal Enforcement of Traffic Law as Ubiquitous Enforcement Becomes Technologically Conceivable? (February 04, 2022). Available at SSRN: https://ssrn.com/abstract=5034907 or http://dx.doi.org/10.2139/ssrn.5034907

Bryant Walker Smith (Contact Author)

University of South Carolina - Joseph F. Rice School of Law ( email )

1525 Senate Street
Columbia, SC 29208
United States

HOME PAGE: http://law.sc.edu/faculty/smith

Stanford Law School Center for Internet and Society ( email )

559 Nathan Abbott Way
Stanford, CA 94305-8610
United States

HOME PAGE: http://cyberlaw.stanford.edu/bws

Jeffrey Michael

John Hopkins University ( email )

Johnathon P. Ehsani

Johns Hopkins University ( email )

Baltimore, MD 20036-1984
United States

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