Grant supported by the Ohio Department of Transportation.
PI: Jiaqi Ma. Co-PI: Ming Tang. Julian Wang.
Evaluate Opportunities to Provide Training Simulation for ODOT Snow and Ice Drivers – Phase 1
8/2018 – 3/2019
The purpose of this research is to conduct an in-depth analysis of ODOT’s current process for training snow and ice drivers and provide recommendations on how to enhance their snow and ice experience.
To accomplish this research, the scope of work should be divided into two phases. The scope of work should include, at a minimum, the activities noted below. Additional tasks may be included in the proposal by the UC team as appropriate to ensure achievement of research objectives. ODOT’s decision to invest in Phase 2 will be based on Phase 1 interim report and recommendations, and it will consider both ODOT’s ability to implement and the expected cost-benefit.
The first phase of the research requires a comprehensive look at how ODOT currently trains their snow and ice drivers and a review of nationwide practices for snow and ice driver training. An analysis of the past practices shall be considered. During Phase 1, the UC team will work closely with ODOT Lorain County personnel. The recommendations will be developed by reviewing and documenting ODOT’s current practices, past practices, and then developing a matrix of choices and opportunities to enhance ODOT’s travel time recovery.
In order to understand the available technologies for training snow and ice drivers, we performed a preliminary literature search and found the key technologies can be categorized into driving simulator-based, VR-based, AR-based type. In the following section, we will discuss these three simulation training types, and some previous associated works conducted by PIs are also provided.
“Evaluate Opportunities to Provide Training Simulation for ODOT Snow and Ice Drivers”.
Funded by Ohio Department of Transportation
PI: Jiaqi Ma. Co-PI: Ming Tang, Julian Wang.
Phase I. $39,249.ODOT 32391 / FHWA. 2018-2019
Phase II: $952,938. Grant #: 1014440. ODOT 32391 / FHWA. 2019-2011
SAID students: Sam Dezarn, Ganesh Raman, Dongrui Zhu, Jordan Sauer, Niloufar Kioumarsi.
Download the demo file. zip (1GB)
instruction: “C” switch camera view. “E” get in/out car, “L” trun on/off light. “space bar” break. “W”, “A”, “S”, “D” for navigation.
Gamepad: Right Trigger, to start engine, Left Trigger tostop engine.
Augmented Reality for Digital Fabrication. Projects from SAID, DAAP, UC. Fall 2018.
Hololens. Fologram, Grasshopper.
Faculty: Ming Tang, RA, Associate Prof. University of Cincinnati
Students: Alexandra Cole, Morgan Heald, Andrew Pederson,Lauren Venesy,Daniel Anderi, Collin Cooper, Nicholas Dorsey, ,John Garrison, Gabriel Juriga, Isaac Keller, Tyler Kennedy, Nikki Klein, Brandon Kroger, Kelsey Kryspin, Laura Lenarduzzi, Shelby Leshnak, Lauren Meister,De’Sean Morris, Robert Peebles, Yiying Qiu, Jordan Sauer, Jens Slagter, Chad Summe, David Torres, Samuel Williamson, Dongrui Zhu, Todd Funkhouser.
Project team lead: Jordan Sauer, Yiying Qiu, Robert Peebles,David Torres.
Videos of working in progress
The AR & VR project for medical model. Animated heart. magic school bus project at the University of Cincinnati.