Exploring the role of delta-V in influencing occupant injury severities – A mediation analysis approach to motor vehicle collisions

Shannon, Darren; Murphy, Finbarr; Mullins, Martin; Rizzi, Luis Ignacio

doi:10.1016/j.aap.2020.105577

Cited by 13 publications

(10 citation statements)

References 36 publications

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“…because previous research has found it to be a reliable predictor for injury severity in a crash (16)(17)(18). In the CISS data, DV is estimated using NHTSA's WinSMASH crash reconstruction software ( 14 As shown in Figure 3, among vehicles in transport (i.e., not vehicles that are parked or unmoving) and excluding vehicles with missing or unknown DV, vehicles with 1 + ADAS features available appear to have a lower chance of a high DV and a greater chance of having a low DV than vehicles without ADAS.…”

Section: Occupant Injury Severity Outcomesmentioning

confidence: 99%

Effects of Advanced Driver Assistance Systems on Impact Velocity and Injury Severity: An Exploration of Data from the Crash Investigation Sampling System

Schoner¹,

Sanders

Goddard

2023

Transportation Research Record: Journal of the Transportation R

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This paper presents an exploratory analysis of advanced driver assistance systems (ADAS) features and safety outcomes using National Highway Transportation Safety Administration’s Crash Investigation Sampling System (CISS) database. In this database, we found improved safety outcomes associated with the presence of three ADAS features: lane departure warning, forward collision warning, and blind spot detection. In particular, vehicles with ADAS features were less likely to be involved in fatal and severe crashes than vehicles of a similar age and body style. Additionally, vehicles with ADAS features had a lower rate of change in velocity pre- and postcrash, a key proxy for injury severity. Vehicles with ADAS were also less likely to be involved in head-on and rear-end crashes than similar vehicles without ADAS and were less likely to experience a severe outcome than vehicles without ADAS when involved in sideswipe collisions. Despite these promising findings, however, small sample sizes precluded robust within-category and multivariate analysis. More robust data are urgently needed to disentangle the safety effects of ADAS features from those related to confounding variables such as vehicle age and body type for vehicle occupants, pedestrians, and bicyclists. We conclude the paper with recommendations for improvements to the CISS database that could support future investigations. We hope this work provides a baseline for scholars and practitioners to deepen our understanding of the effects of ADAS features on transportation safety.

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Section: Occupant Injury Severity Outcomesmentioning

confidence: 99%

Effects of Advanced Driver Assistance Systems on Impact Velocity and Injury Severity: An Exploration of Data from the Crash Investigation Sampling System

Schoner¹,

Sanders

Goddard

2023

Transportation Research Record: Journal of the Transportation R

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“…As in the model for signalised junctions, daylight may aid both pedestrians and drivers in properly comprehending and reacting to associated hazards via better visibility at the time of the accident, thereby reducing the potential for severe injuries. The effect of the no-hazard variable suggests that in the absence of hazardous objects, pedestrians and drivers are at lower risk of severe injuries in most of the cases; generally, roadside hazards have been long connected with higher impact velocity changes (delta-v) that may result in more severe injuries (Shannon et al, 2020).…”

Section: Pedestrian-motor Vehicle Accidents At Physically-controlled ...mentioning

confidence: 99%

Analysis of pedestrian accident injury-severities at road junctions and crossings using an advanced random parameter modelling framework: The case of Scotland

Olowosegun

Babajide

Akintola

et al. 2022

Accident Analysis & Prevention

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“…gender, age, level of restraint, 30 occupant position, 31 and body mass index 32 ), vehicle features (e.g. vehicle weight 33 and vehicle type 34 ), impact-related variables (e.g. delta-V, crash momentum index, 35 primary direction of force, 35 and impact side 34 ).…”

Section: Introductionmentioning

confidence: 99%

“…vehicle weight 33 and vehicle type 34 ), impact-related variables (e.g. delta-V, crash momentum index, 35 primary direction of force, 35 and impact side 34 ). It has been reported that impact-related variables are more important indicators of impact severity than occupant and vehicle features.…”

Section: Introductionmentioning

confidence: 99%

Crash recognition algorithm of automatic crash notification system with adaptive discrimination threshold

Lü

Liu

Shu

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part D:

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Efficiency and notification accuracy are two critical criteria for evaluating the performance of automatic crash notification (ACN) systems. The discrimination threshold (DT) is used to assess whether a collision accident occurs. Typically, the DT value is determined based on the maximal acceleration peak from multiple road tests. Because an overlarge DT value is unnecessary in most driving scenes and simultaneously adversely affects notification accuracy, a crash recognition (CR) algorithm with adaptive DT is proposed. First, a road–vehicle simulation model is constructed using the CarSim software. Next, the vehicle acceleration data at different driving speeds are obtained based on this road–vehicle model. Subsequently, a correlation model comprising a discrimination threshold value, an international roughness index, and the vehicle speed is developed. Finally, a CR algorithm is designed, in which discrimination threshold values that match the road roughness and vehicle speed are specified. Road and collision tests show that the proposed algorithm can identify collisions and calculate the speed change value more accurately compared with the conventional CR algorithm which has a fixed discrimination threshold.

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Exploring the role of delta-V in influencing occupant injury severities – A mediation analysis approach to motor vehicle collisions

Cited by 13 publications

References 36 publications

Effects of Advanced Driver Assistance Systems on Impact Velocity and Injury Severity: An Exploration of Data from the Crash Investigation Sampling System

Effects of Advanced Driver Assistance Systems on Impact Velocity and Injury Severity: An Exploration of Data from the Crash Investigation Sampling System

Analysis of pedestrian accident injury-severities at road junctions and crossings using an advanced random parameter modelling framework: The case of Scotland

Crash recognition algorithm of automatic crash notification system with adaptive discrimination threshold

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