NTL Record

Title The Expert Locomotive Engineer’s Mental Model
Record ID 82068
Corporate Creator Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics; General Electric Company
Corporate
Contributor
United States. Department of Transportation. Federal Railroad Administration. Office of Railroad Policy and Development
Publisher United States. Department of Transportation. Federal Railroad Administration
Publication Date 20210801
Language English
Abstract Researchers from General Electric (GE) Research and the Massachusetts Institute of Technology (MIT) Human Systems Lab are studying ways to improve the man-machine interface for the locomotive driving task and train handling with the assistance of advanced automation. This man-machine collaborative approach to the design of automated control systems promises improved locomotive control for both experienced engineers and those new to the job. The system design approach is to build-in and take advantage of expert drivers’ knowledge and skills and the machine’s ability to execute instructions more precisely than the engineer to provide better overall safety and efficiency. From October 2019 to July 2020, the team conducted the experiments at the Federal Railroad Administration’s (FRA) Cab Technology Integration Lab (CTIL) (Figure 1). These experiments put expert and novice drivers in the simulated cab, allowing each to drive while blocking the view out the window from the driver (i.e., forcing interaction with the non-driving participant) and recording their interactions for analysis.
Rosap ID dot:57310
Rosap URL https://rosap.ntl.bts.gov/view/dot/57310
TRT Terms Automatic train control; Train operation; Automation; Human factors; Locomotive engineers
General Subjects Train control; Mental models; Expert engineer performance; Train handling
Geographical
Coverage
United States
TRIS Online
Accession No
1781314
Contract Number 693JJ6-18-C-000031
Report Number RR 21-15
Resource type Tech Report
URL https://ntlrepository.blob.core.windows.net/lib/82000/82000/82068/Expert_Locomotive_Engineer_Mental_Model_REM.pdf
Format PDF
Database NTL Digital Repository