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New automation modes and user interface for freight locomotives adsa


Term:

Fall

Department:

16: Aeronautics and Astronautics

Faculty Supervisor:

Charles M Oman

Faculty email:

coman@mit.edu

Apply by:

October 1

Contact:

coman@mit.edu

Project Description

UROP for pay/remote. The Human Systems Laboratory is collaborating with GE Global Research Center (Niskayuna NY) on a DOT/FRA-sponsored project developing new modes of automation for railroad locomotives. We have multiple opportunities for UROPs to help us develop a novel mode of driving freight trains in which the train engineer collaborates with an automated motion planning and control system. The research project needs help to prepare, execute, and analyze the primary experiment that will be conducted in a train cab simulator at the DOT’s Volpe center (may be done remotely). Responsibilities would be varied and challenging and may include: • Integration and troubleshooting of experimental system that include controls, comm, User Interface, and simulator. o Create a CTIL web-service emulator to test the control algorithm interface and integrate it with a Simulink train model. o Run end-to-end system checkout of UI (HTML5, Javascript), server (Javascript) and control algorithms (MATLAB). Work with GE to develop and execute a test plan. • MATLAB programming to refine control algorithms, UDP communications protocols, and/or state machine code. o Work with GE to test and refine algorithms to meet performance objectives for a range of operating scenarios. • Annotation, synthesis, and analysis of experimental data to address hypotheses in the area of human factors and transportation systems. o Develop methods and process to analyze experimental data prior to the experiment. o Collection and analysis of actual experimental data. UROPs will be expected to work remotely 5-8 hours/week on the project with regular meetings with the MIT and GE team. This is a UROP for pay at $13/hour. UROPs will learn about current railroad operations and how to drive the simulated train (when it becomes accessible for research). If interested, please email Drs. Liu and Oman and include a short resume.

Pre-requisites

Familiarity with MATLAB, Javascript, HTML5 desirable, but not required