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THE UNIVERSITY OF ADELAIDE
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Publication Details

TitleA robust estimation of the effects of Motorcycle Autonomous Emergency Braking (MAEB) based on in-depth crashes in Australia
AuthorsSavino G, Mackenzie JRR, Allen T, Baldock MRJ, Brown J, Fitzharris M
Year2016
TypeJournal Article
AbstractObjective. Autonomous emergency braking (AEB) is a safety system that detects imminent forward collisions and reacts by slowing down the host vehicle without any action from the driver. AEB effectiveness in avoiding and mitigating real world crashes has recently been demonstrated. Research suggests that a translation of AEB to powered two wheelers could also be beneficial. Previous studies have estimated the effects of a motorcycle AEB system (MAEB) via computer simulations. While effects of MAEB were computed for motorcycle crashes derived from in-depth crash investigation, there may be some inaccuracies due to limitations of post-crash investigation (e.g. inaccuracies in pre-impact velocity of the motorcycle). Furthermore, ideal MAEB technology was assumed, which may lead to overestimation of the benefits. This study sought to evaluate the sensitivity of the simulations to variations in reconstructed crash cases and the capacity of the MAEB system, in order to provide a more robust estimation of MAEB effects.

Methods. First, a comprehensive classification of accidents was used to identify scenarios in which MAEB was likely to apply, and representative crash cases from those available for this study were populated for each crash scenario. Second, 100 variant cases were generated by randomly varying a set of simulation parameters with given normal distributions around the baseline values. Variants reflected uncertainties in the original data. Third, the effects of MAEB were estimated in terms of the difference in the impact speed of the host motorcycle with and without the system via computer simulations of each variant case. Simulations were repeated assuming both an idealized and a realistic MAEB system. For each crash case, the results in the baseline case and in the variants were compared.

A total of 36 crash cases representing 11 common crash scenarios were selected from three Australian in-depth datasets: 12 cases from New South Whales, 13 cases from Victoria, and 11 cases from South Australia.

Journal TitleTraffic Injury Prevention
Journal Volume (Issue)17(51)
Page Range66-72

Reference
Savino G, Mackenzie JRR, Allen T, Baldock MRJ, Brown J, Fitzharris M (2016) 'A robust estimation of the effects of Motorcycle Autonomous Emergency Braking (MAEB) based on in-depth crashes in Australia', Traffic Injury Prevention, 17(51), pp 66-72.