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In the last decade, a technique for understanding real-world issues facing car and truck drivers has become a common and valuable research tool. This method, known as naturalistic research, has only become possible for motorcycle research in the last few years.

Participants in this research ride for approximately a year, doing whatever it is they normally do, with sensors and cameras on their motorcycle. Participants are paid. Identifying information is separated from data.

The data, which capture actions of the rider and surrounding traffic, will support riding and driving related research for years to come.

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How will the data be used?

The real-world data collected in this study will be used to look for ways to reduce motorcyclist fatalities and injuries. The data will describe good and bad experiences in detail. These data will be analyzed to develop guidance on topics including: conditions that are present when riders have trouble, actions of other vehicles, evasive maneuvers that are possible, safe rider behaviors, unsafe rider behaviors, the sequence of events that end in a crash or near-crash, and potential countermeasures.