Automated vehicles, the ‘driver dilemma’, stopping powers, and paradigms of regulating road traffic

This article examines the driver dilemma as it applies to the increasing automation of road traffic with a focus on roadside enforcement stopping powers. The driver dilemma exists where road traffic laws are expressed as directed toward human drivers. As automation increases, it becomes more problematic who is the driver, in fact and in law, for the purposes of international and national road traffic laws. An obvious solution to the driver dilemma is to enact reforms that deem automated driving systems ‘drivers’ under road traffic laws. This can be seen in recent amendments to the Vienna Convention on Road Traffic . However, the deeming solution has limitations. Through a case study on specific Australian provisions that authorise roadside enforcement officers to stop vehicles, two paradigms informing regulation of road traffic are revealed. The legacy paradigm, founded on the unity of driver and vehicle, conceives road transport involving individuals with an expectation of freedom of movement. The deeming solution attempts to preserve this paradigm. The case study also revealed an alternative paradigm of road traffic as a system that should be regulated to ensure overarching public policy goals. This alternative paradigm is evident in the specific passenger transport laws, where stopping powers are expressed as vehicle-centric. There is no driver proxy and no need for a further wrong for the powers to be enlivened. The article concludes that automated transport futures need this alternative paradigm of road traffic regulation and vehicle-centric rules should be a template for more adaptable road traffic laws.

Authors

Institutions

Publication Details

Journal
Computer law & security review
Published
2024-11-15
DOI
https://doi.org/10.1016/j.clsr.2024.106076
Citations
5
Primary Topic
Transportation and Mobility Innovations
Type
article
Field-Weighted Citation Impact
1.02
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Automated vehicles, the ‘driver dilemma’, stopping powers, and paradigms of regulating road traffic

Kieran Tranter, Belinda Bennett, Mark Brady
5 citations
Computer law & security review
Transportation and Mobility Innovations
1.02
article

Automated vehicles, the ‘driver dilemma’, stopping powers, and paradigms of regulating road traffic

Kieran Tranter, Belinda Bennett, Mark Brady
article en
5 citations

Abstract

This article examines the driver dilemma as it applies to the increasing automation of road traffic with a focus on roadside enforcement stopping powers. The driver dilemma exists where road traffic laws are expressed as directed toward human drivers. As automation increases, it becomes more problematic who is the driver, in fact and in law, for the purposes of international and national road traffic laws. An obvious solution to the driver dilemma is to enact reforms that deem automated driving systems ‘drivers’ under road traffic laws. This can be seen in recent amendments to the Vienna Convention on Road Traffic . However, the deeming solution has limitations. Through a case study on specific Australian provisions that authorise roadside enforcement officers to stop vehicles, two paradigms informing regulation of road traffic are revealed. The legacy paradigm, founded on the unity of driver and vehicle, conceives road transport involving individuals with an expectation of freedom of movement. The deeming solution attempts to preserve this paradigm. The case study also revealed an alternative paradigm of road traffic as a system that should be regulated to ensure overarching public policy goals. This alternative paradigm is evident in the specific passenger transport laws, where stopping powers are expressed as vehicle-centric. There is no driver proxy and no need for a further wrong for the powers to be enlivened. The article concludes that automated transport futures need this alternative paradigm of road traffic regulation and vehicle-centric rules should be a template for more adaptable road traffic laws.

Computer law & security reviewVol. 56
Queensland University of Technology (AU), Hunter Water (AU), Charles Darwin University (AU), University of Newcastle Australia (AU)
Openalex Percentile: Top 24%
Transportation and Mobility Innovations
1.02
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Automated vehicles, the ‘driver dilemma’, stopping powers, and paradigms of regulating road traffic — Kieran Tranter, Belinda Bennett, et al. · Computer law & security review (2024) | TGRS Research Map | TGRS