Abstract
The study investigates the potential of Automatic Emergency
Braking (AEB) and Adaptive Cruise Control (ACC) systems to prevent fatal
rear-end, intersection and pedestrian crashes in Finland. The systems’
possibilities to prevent crashes were assessed using data on 115 in-depth
investigated fatal crashes. The data includes all fatal crashes in the three
studied crash types in 2014–2016. This study considers the impact of estimated
speed, weather conditions and intentionality on the systems’ operation. AEB
and ACC could potentially have prevented 41% of the crashes. The highest
safety potential in terms of share of hypothetically prevented crashes was
recognised in rear-end (45%) and pedestrian crashes (45%) and the lowest in
intersection crashes (36%). This study complements previous research, which
amount is low especially considering the potential to reduce pedestrian and
intersection crashes, and which has typically been limited in the aspects that are
considered in analysing the safety potential.
Braking (AEB) and Adaptive Cruise Control (ACC) systems to prevent fatal
rear-end, intersection and pedestrian crashes in Finland. The systems’
possibilities to prevent crashes were assessed using data on 115 in-depth
investigated fatal crashes. The data includes all fatal crashes in the three
studied crash types in 2014–2016. This study considers the impact of estimated
speed, weather conditions and intentionality on the systems’ operation. AEB
and ACC could potentially have prevented 41% of the crashes. The highest
safety potential in terms of share of hypothetically prevented crashes was
recognised in rear-end (45%) and pedestrian crashes (45%) and the lowest in
intersection crashes (36%). This study complements previous research, which
amount is low especially considering the potential to reduce pedestrian and
intersection crashes, and which has typically been limited in the aspects that are
considered in analysing the safety potential.
| Original language | English |
|---|---|
| Pages (from-to) | 1-14 |
| Number of pages | 14 |
| Journal | International Journal of Vehicle Autonomous Systems |
| Volume | 16 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2021 |
| Publication type | A1 Journal article-refereed |
Publication forum classification
- Publication forum level 1