In situ data collection refers to the gathering of performance and behario data in a naturalistic, real-workd environment. Unlike research efforts that use laboratory, simulator, or other controlled or fabricated environments, in- situ data collection places data gathering equipment inside the vehicle with a driver as that driver operates under real-world conditions. This paper highlights the features of in- situ data collection, and provides an overview of a data collection system with a description of the platforms used for heavy vehicle and light vehicle research. Examples of its use in U.S. DOT-funded research projects are discussed, including recent applications to study local/short haul driver fatigue, long haul driver fatigue, and an ongoing passenger vehicle study. Potential future applications of the in-situ data collection platform are also discussed.
Samenvatting