Swedish Study Found Automatic Emergency Braking (AEB) Systems Reduced Crash Risk by Eight Percent with Pedestrian Detection and 21 Percent with Bicyclist Detection.
Pedestrian and Bicyclist Oriented AEB Systems were Evaluated Using Historic Crash Data from Sweden and Vehicles Fitted with the Technology.
Sweden
Effects on crash risk of automatic emergency braking systems for pedestrians and bicyclists
Summary Information
Automatic Emergency Braking (AEB) systems can detect and react to various obstacles, including other vehicles, stationary objects, pedestrians, and cyclists, providing critical protection for these vulnerable road users. By automatically applying the brakes in emergency situations, AEB systems have the potential to reduce the severity and frequency of collisions, enhancing overall road safety and particularly safeguarding pedestrians and cyclists This study evaluated crash reductions of vehicles fitted with AEB systems with pedestrian detection and those with bicyclist detection, using Swedish traffic accident data from 2015 to 2020.
METHODOLOGY
In this study, researchers employed statistical analysis to examine the outcomes of sensitive and non-sensitive crashes. The sensitive crashes involved incidents where pedestrians and bicyclists were struck, while the non-sensitive crashes involved rear-end collisions with other vehicles. The evaluation also considered varying light and weather conditions, as well as differences between high-speed and low-speed roads.
FINDINGS
- Results indicated an overall reduction on crash risk for AEB with pedestrian detection of eight percent.
- For AEB with bicyclist detection, the reduction in crash risk was 21 percent.
- In daylight and twilight conditions, AEB with pedestrian detection reduced pedestrian crash risk by 18 percent, and AEB with bicyclist detection reduced bicyclist crash risk by 23 percent.
- No crash risk reduction for AEB with pedestrian detection or AEB with bicyclist detection was found in darkness.
- Results showed a reduction of 53 percent for bicyclists in rain, fog, and snowfall.
