Using simulation to develop protocols for bicycle crash-avoidance testing

A straight crossing path protocol with the subject vehicle and bicycle moving at similar, low speeds could lead to bicycle-detecting AEB implementations with a wider field of view. The test speed in both scenarios primarily influenced the sensor range. This research provides testing agencies with information about how testing protocol decisions could influence AEB system design. In addition, this study demonstrates the feasibility of using simulation tools to develop relevant crash avoidance testing protocols. Future simulations could predict the performance in real-world bicycle crashes of systems that would also perform well in the potential testing protocols.

Authors

Institutions

Publication Details

Journal
Traffic Injury Prevention
Published
2025-08-15
DOI
https://doi.org/10.1080/15389588.2025.2520477
Primary Topic
Traffic and Road Safety
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Using simulation to develop protocols for bicycle crash-avoidance testing

David G. Kidd, Luke E. Riexinger, Jessica S. Jermakian
Traffic Injury Prevention
Traffic and Road Safety
article

Using simulation to develop protocols for bicycle crash-avoidance testing

David G. Kidd, Luke E. Riexinger, Jessica S. Jermakian
article en

Abstract

A straight crossing path protocol with the subject vehicle and bicycle moving at similar, low speeds could lead to bicycle-detecting AEB implementations with a wider field of view. The test speed in both scenarios primarily influenced the sensor range. This research provides testing agencies with information about how testing protocol decisions could influence AEB system design. In addition, this study demonstrates the feasibility of using simulation tools to develop relevant crash avoidance testing protocols. Future simulations could predict the performance in real-world bicycle crashes of systems that would also perform well in the potential testing protocols.

Traffic Injury PreventionVol. 26(sup1)
Insurance Institute for Highway Safety (US)
Openalex Percentile: Top 75%
Traffic and Road Safety
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.