Performance of AEB systems in preventing car-pedestrian collisions

The results demonstrate that AEB systems are effective in reducing car-pedestrian collisions; however, performance remains low compared with the effectiveness of AEB in reducing rear-end collisions. This indicates that considerable room remains for technological improvement.

Authors

Institutions

Publication Details

Journal
Traffic Injury Prevention
Published
2025-07-16
DOI
https://doi.org/10.1080/15389588.2025.2515521
Citations
2
Primary Topic
Autonomous Vehicle Technology and Safety
Type
article
Field-Weighted Citation Impact
1.37
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Performance of AEB systems in preventing car-pedestrian collisions

Masato Umeda, Hiroaki Miyoshi
2 citations
Traffic Injury Prevention
Autonomous Vehicle Technology and Safety
1.37
article

Performance of AEB systems in preventing car-pedestrian collisions

Masato Umeda, Hiroaki Miyoshi
article en
2 citations

Abstract

The results demonstrate that AEB systems are effective in reducing car-pedestrian collisions; however, performance remains low compared with the effectiveness of AEB in reducing rear-end collisions. This indicates that considerable room remains for technological improvement.

Traffic Injury Prevention
Doshisha University (JP), The University of Tokyo (JP)
Sustainable cities and communities
Openalex Percentile: Top 18%
Autonomous Vehicle Technology and Safety
1.37
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.