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Vehicle Accident Databases: Correctness Checks for Accident Kinematic Data

Department of Industrial Engineering of Florence, Università degli Studi di Firenze, 50139 Florence, Italy
Department of Engineering Sciences, Universitetet I Agder, 4630 Kristiansand S, Agder, Norway
Author to whom correspondence should be addressed.
Received: 5 December 2017 / Revised: 19 January 2018 / Accepted: 23 January 2018 / Published: 26 January 2018
(This article belongs to the Special Issue Road Vehicle Safety: Design and Assessment)
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(1) Background: Data collection procedures allow to obtain harmonization of in-depth road accident databases. Plausibility of calculable accident-related kinematic parameters depends on the constraints imposed on calculation, making their uncertainty degree higher than the one for measurable parameters (i.e., traces, airbag activation, etc.). Uncertainty translates in information loss, making the statistics based on databases analysis less consistent. Since kinematic parameters describe the global accident dynamics, their correctness assessment has a fundamental importance; (2) Methods: the paper takes as reference data collected in the Initiative for the GLobal harmonisation of Accident Data (IGLAD) database for vehicle-to-vehicle crashes. The procedure, however, has general nature and applies identically for other databases and multiple impacts between vehicles. To highlight issues which can arise in accident-related data collection, 3 different checks are proposed for parameters correctness assessment; (3) Results: by 4 examples, 1 with correct and 3 with incorrect parameters reported, the paper demonstrates that errors can go beyond simple calculation uncertainty, implying that a deeper analysis is desirable in data collection; (4) Conclusions: the step-by-step guidelines described in this paper will help in increasing goodness of collected data, providing for a methodology which can be used by each individual involved in accident data collection, both for collection itself and subsequent verification analysis. View Full-Text
Keywords: data collection; check; momentum; velocity change; collision velocity; post-impact velocity; energy loss data collection; check; momentum; velocity change; collision velocity; post-impact velocity; energy loss

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Vangi, D.; Cialdai, C.; Gulino, M.-S.; Robbersmyr, K.G. Vehicle Accident Databases: Correctness Checks for Accident Kinematic Data. Designs 2018, 2, 4.

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