Alumni – Page 2

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November 28, 2023

KAIST Q-Day Faculty Special Awards

Congratulations!

Dr. Nicole Chen, Prof. Kitae Jang, and I as one team won the KAIST Q-Day Faculty Special Awards in the internationalization category in 2023.

KAIST confers special awards to faculty members who have contributed to creating a campus atmosphere that welcomes questions under the QAIST new culture strategy, and with outstanding achievements in creative education/research.

November 3, 2023

Tupa Fall Picnic

October 19, 2023

TRIPS competition award

Congratulations!

TUPA researchers Kim Min, Baek Songmi, and Dr. Chun Kyunghoon have won the Traffic Research Society Chairman’s Award at the ‘2023 Metropolitan Area Transportation Innovation Competition,’ sponsored by the Ministry of Land, Infrastructure and Transport Metropolitan Area Transportation Committee (hereinafter referred to as the Committee), and jointly organized by the Railway Research Institute and the Korean Society of Transportation.

The prize money is 1.5 million won.

October 12, 2023

2023 Fall Transport conference

October 6, 2023

Department sports event

August 30, 2023

NEW students BBQ

August 9, 2023

Tupa in Mud

July 30, 2023

2023 Mobility summer camp

July 25, 2023

2023 mobility summer camp

I am thrilled that most sessions in our 1st summer camp sessions on the Jeju campus of Korea Advanced Institute of Science and Technology from 19th June to 14th July 2023 are shared with you all today.

The topics are very diverse. Please drop by if you would like to attend any of the 18 workshops. (PS: some videos are not uploaded until their research outcomes are published. They will be uploaded as soon as they are published)

Jang Kitae, Tiantian CHEN, Jinwoo Lee, and I really appreciate our fantastic speakers who are willing to share their talks with the public.
We have already been planning to have 2nd summer camp in 2024. Please stay tuned!!

Majid Sarvi (The University of Melbourne), Tony Sze (Hong Kong Polytechnic University), Graham Currie FTSE (Monash University), Xiaobo Qu (Tsinghua University) Jochen Lohmiller (Beuth Hochschule für Technik Berlin), Zhiyuan (Terry) Liu (Southeast University), Prof. Zibin Li (Southeast University), Oscar Oviedo-Trespalacios (Delft University), B. Brian Park (University of Virginia)

Check out all the sessions

https://www.youtube.com/playlist?list=PLUITjzI6gBcyUBa8-Z-oo7WLFBpRk3nhm

July 4, 2023

Metaverse based Emerging Technology

Unity-Vissim Cosimulation environment development for Human-in-the-loop test

Existing human-in-the-loop (HIL) test systems have limitations in providing a realistic traffic environment.
Microsimulation(VISSIM) is mainly used for traffic flow analysis because it embeds models that reflect general human driving behaviors(such as car-following and lane change).
By integrating the two software, the cosimulation environment was built to analyze driving behaviors in realistically reproduced traffic flow situations.

Networking based Multiagent driving simulator platform development

Single Driving simulator has limitations in accurately reflecting human factors in collision risk situations, as vehicles in the simulation operate based on specific models.
To overcome the limitations, a network-based multiagent driving simulator platform was developed, enabling multiple participants to engage simultaneously.
To verify the reliability of the simulator, scenarios such as car following and unsignalized intersection crossing were selected. Real-world coordinates and speed changes were collected and statistically analyzed alongside corresponding data gathered from the simulators.

KAIST Munji campus testbed transplantation to the virtual world

To conduct a test-based study, the KAIST Munji campus was scanned using a drone.
Point cloud data was collected and used for 3D modeling.

Performed autonomous vehicle data replay in the metaverse environment based on the trajectory provided in Prof. Dongseok Kum’s laboratory (VDC lab).

Pedestrian model control module was embedded into the developed multiagent simulator platform to extend vehicle-human interactions cases.