Estimated benefit of automated emergency braking systems for vehicle–pedestrian crashes in the United States. (12th June 2019)
- Record Type:
- Journal Article
- Title:
- Estimated benefit of automated emergency braking systems for vehicle–pedestrian crashes in the United States. (12th June 2019)
- Main Title:
- Estimated benefit of automated emergency braking systems for vehicle–pedestrian crashes in the United States
- Authors:
- Haus, Samantha H.
Sherony, Rini
Gabler, Hampton C. - Abstract:
- Abstract: Objective: The objective of this research study is to estimate the benefit to pedestrians if all U.S. cars, light trucks, and vans were equipped with an automated braking system that had pedestrian detection capabilities. Methods: A theoretical automatic emergency braking (AEB) model was applied to real-world vehicle–pedestrian collisions from the Pedestrian Crash Data Study (PCDS). A series of potential AEB systems were modeled across the spectrum of expected system designs. Both road surface conditions and pedestrian visibility were accounted for in the model. The impact speeds of a vehicle without AEB were compared to the estimated impact speeds of vehicles with a modeled pedestrian detecting AEB system. These impacts speeds were used in conjunction with an injury and fatality model to determine risk of Maximum Abbreviated Injury Scale of 3 or higher (MAIS 3+) injury and fatality. Results: AEB systems with pedestrian detection capability, across the spectrum of expected design parameters, reduced fatality risk when compared to human drivers. The most beneficial system (time-to-collision [TTC] = 1.5 s, latency = 0 s) decreased fatality risk in the target population between 84 and 87% and injury risk (MAIS score 3+) between 83 and 87%. Conclusions: Though not all crashes could be avoided, AEB significantly mitigated risk to pedestrians. The longer the TTC of braking and the shorter the latency value, the higher benefits showed by the AEB system. All AEB modelsAbstract: Objective: The objective of this research study is to estimate the benefit to pedestrians if all U.S. cars, light trucks, and vans were equipped with an automated braking system that had pedestrian detection capabilities. Methods: A theoretical automatic emergency braking (AEB) model was applied to real-world vehicle–pedestrian collisions from the Pedestrian Crash Data Study (PCDS). A series of potential AEB systems were modeled across the spectrum of expected system designs. Both road surface conditions and pedestrian visibility were accounted for in the model. The impact speeds of a vehicle without AEB were compared to the estimated impact speeds of vehicles with a modeled pedestrian detecting AEB system. These impacts speeds were used in conjunction with an injury and fatality model to determine risk of Maximum Abbreviated Injury Scale of 3 or higher (MAIS 3+) injury and fatality. Results: AEB systems with pedestrian detection capability, across the spectrum of expected design parameters, reduced fatality risk when compared to human drivers. The most beneficial system (time-to-collision [TTC] = 1.5 s, latency = 0 s) decreased fatality risk in the target population between 84 and 87% and injury risk (MAIS score 3+) between 83 and 87%. Conclusions: Though not all crashes could be avoided, AEB significantly mitigated risk to pedestrians. The longer the TTC of braking and the shorter the latency value, the higher benefits showed by the AEB system. All AEB models used in this study were estimated to reduce fatalities and injuries and were more effective when combined with driver braking. … (more)
- Is Part Of:
- Traffic injury prevention. Volume 20(2019)Suppement 1
- Journal:
- Traffic injury prevention
- Issue:
- Volume 20(2019)Suppement 1
- Issue Display:
- Volume 20, Issue 1 (2019)
- Year:
- 2019
- Volume:
- 20
- Issue:
- 1
- Issue Sort Value:
- 2019-0020-0001-0000
- Page Start:
- S171
- Page End:
- S176
- Publication Date:
- 2019-06-12
- Subjects:
- Automatic emergency braking -- pedestrian -- United States -- benefits -- crash mitigation
Traffic safety -- Periodicals
Traffic accidents -- Periodicals
Wounds and injuries -- Prevention -- Periodicals
363.125 - Journal URLs:
- http://www.tandfonline.com/toc/gcpi20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/15389588.2019.1602729 ↗
- Languages:
- English
- ISSNs:
- 1538-9588
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8882.133000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12765.xml