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Showing results 1 to 8 of 8

1
Attention-based Recurrent Neural Network for Urban Vehicle Trajectory Prediction

Choi, Seongjin; Kim, Jiwon; Yeo, Hwasoo, The 10th International Conference on Ambient Systems, Networks and Technologies, pp.327 - 334, Acadia University, 2019-05-01

2
Incorporating Network Traffic State for Urban Vehicle Trajectory Prediction

Choi, Seongjin; Kim, Jiwon; Yeo, Hwasoo, TRB 99th Annual Meeting, The National Academies of Sciences, 2020-01-13

3
Network-Wide Vehicle Trajectory Prediction in Urban Traffic Networks using Deep Learning

Choi, Seongjin; Yeo, Hwasoo; Kim, Jiwon, TRANSPORTATION RESEARCH RECORD, v.2672, no.45, pp.173 - 184, 2018-12

4
Real-time Prediction of Arterial Vehicle Trajectories: An Application to Predictive Route Guidance for an Emergency Vehicle

Choi, Seongjin; Yu, Hwapyeong; Kim, Jiwon; Yeo, Hwasoo, 22nd Intelligent Transportation Systems Conference, Griffith University (IEEE Intelligent Transportation Systems Society), 2019-10-30

5
TrajGAIL: Generating Urban Vehicle Trajectories using Generative Adversarial Imitation Learning

Choi, Seongjin; Kim, Jiwon; Yeo, Hwasoo, TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, v.128, 2021-07

6
TRAJGAIL: GENERATING URBAN VEHICLE TRAJECTORIES USING GENERATIVE ADVERSARIAL IMITATION LEARNING

Choi, Seongjin; Kim, Jiwon; Park, Minju; Yeo, Hwasoo, TRB 100th Annual Meeting, The National Academies of Sciences, 2021-01-27

7
Transformer-based Map-matching Model with Limited Labeled Data using Transfer-Learning Approach

Jin, Zhixiong; Kim, Jiwon; Yeo, Hwasoo; Choi, Seongjin, The Korea Institute of ITS International Conference 2022, The Korea Institute of Intelligent Transport Systems, 2022-06

8
Transformer-based map-matching model with limited labeled data using transfer-learning approach

Jin, Zhixiong; Kim, Jiwon; Yeo, Hwasoo; Choi, Seongjin, TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, v.140, 2022-07

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