Posts

Digital Twin of Ohio Highway. Training Simulation for snowplow

Ming Tang led the team that constructed six large-scale Ohio highway digital twins for snowplow drivers. The road models, which are 70 miles long and span three Ohio counties, were based on real-site GIS and TOPO data.

“Evaluate Opportunities to Provide Training Simulation for ODOT Snow and Ice Drivers”. Phase 2. Ohio Department of Transportation. PI: John Ash. Co-PI: Ming Tang, Frank Zhou, Mehdi Norouzi, $952,938. Grant #: 1014440. ODOT 32391 / FHWA Period: 01.2019-03.2022.

“Evaluate Opportunities to Provide Training Simulation for ODOT Snow and Ice Drivers”. Phase-1. Ohio Department of Transportation. PI: Jiaqi Ma. Co-PI: Ming Tang, Julian Wang. $39,249. ODOT 32391 / FHWA. Period: 01.2018- 01.2019.

 

 

Lorain County. District 3. 

Hoicking Mountain District 10.

City of Columbus-south A

 

City of Columbus-West B

City of Columbus-North. C

 

Publications

Raman, M., Tang, M3D Visualization Development of Urban Environments for Simulated Driving Training and VR Development in Transportation Systems. ASCE ICTD 2023 Conference. Austin. TX. 06. 2023

Virtual DAAP

Virtual DAAP extends to the discussion of technological constraints of VR such as field of vision, peripheral vision, and vestibular indices. The multi-phase approach starts with defining the immersive VR system, which is used for capturing real agent’s movement within a digital environment to form raw data in the cloud, and then visualize it with heat-map and path network. Combined with graphs, survey data is also used to compare various agents’ way-finding behavioral related to gender, spatial recognition level, and spatial features such as light, sound, and architectural simulations.

 

More information about virtual DAAP.