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As micromobility devices (i.e., e-bikes, scooters, skateboards, etc.) continue to increase in popularity, there is a growing need to test these devices for varying purposes such as performance assessment, crash reconstruction, and design of new products. Although tests have been conducted across the industry for electric scooters (e-scooters), this paper describes a novel method for crash testing e-scooters with anthropomorphic test devices (ATDs) “riding” them, providing new sources for data collection and research. A sled fixture was designed utilizing a pneumatic crash rail to propel the scooters with an overhead gantry used for stabilization of the ATD until release just prior to impact. The designed test series included impacts with a 5.5-inch curb at varying incidence angles, a stationary vehicle, or a standing pedestrian ATD. Test parameter permutations included changing e-scooter tire sizes, impact speeds, and rider safety equipment.

Numerous studies have validated EDSMAC4 as an effective method of reconstructing automobile collisions; however, little has been done to investigate the effect of varying stiffness coefficients on the results of accident reconstruction and simulation analyses. When comparing simulations to staged collisions, the stiffness coefficients are frequently well defined; however, this is not always the case in real world accidents. Six vehicle-to-vehicle test impacts were modeled using EDSMAC4. Stiffness coefficients for the vehicles were obtained from test data of exemplar vehicles. After modeling the impacts with the base stiffness level, the stiffness coefficients were modified for both vehicles either plus (+) or minus (−) 25%. The impacts were re-run and the predicted vehicle damage (maximum crush and pattern), impact severity (Delta-V), peak acceleration, impact duration, post impact trajectory, and impact force was compared.

A MADYMO simulation model was created to analyze the kinematics of a bicycle rider during a frontal collision with a rigid object. The model was validated using a series of crash tests in which rider trajectory was captured with high-speed photography. The test bicycles were equipped with either traditional fixed or suspension front forks. Impact speeds varied from 22.5 to 31.0 kph to cover a range of fork response from minor bending to significant bending and fracture. The predictions of simple particle trajectory analysis were found to approximate rider motion. Rider motion was relatively unaffected by hand and foot “connections” to the bicycle. Furthermore, the rider connection to the bicycle was insufficient to create any significant rider deceleration as a result of bicycle fork deformation.

Data for 1,745 tests of 1965 through 1992 vehicles are readily available in computerized format in the National Highway Traffic Safety Administration crash test database. The tests are of 2,446 vehicles containing 2,833 occupants and include vehicle into vehicle, vehicle into barrier, impactor into vehicle, vehicle into impactor, and several other configurations for production and modified vehicles. The test data are divided into four classifications pertaining to test, vehicle, barrier, and occupant parameters. The database format enables study of the performance of a particular vehicle, vehicle class, or vehicle characteristic. The numerous comment fields permit rapid identification of special tests, test errors, and vehicle modifications. The ready availability of test reports from which the database is derived allows clarification of comments and questionable data contained within the database.