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2023 Conference Publication MSGNN: a multi-structured graph neural network model for real-time incident prediction in large traffic networksTran, Thanh, He, Dan, Kim, Jiwon and Hickman, Mark (2023). MSGNN: a multi-structured graph neural network model for real-time incident prediction in large traffic networks. Transportation Research Board Annual Meeting, Washington, DC, United States, 8-12 January 2023. |
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2023 Conference Publication Multivariate time-varying Kalman filter approach for cycle-based maximum queue length estimationAbewickrema, Wanuji, Yildirimoglu, Mehmet and Kim, Jiwon (2023). Multivariate time-varying Kalman filter approach for cycle-based maximum queue length estimation. Transportation Research Board Annual Meeting, Washington, DC United States, 8-12 January. |
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2023 Conference Publication Automatic traffic flow anomaly detection with reinforcement learningHe, Dan, Kim, Jiwon, Ruan, Boyu and Shi, Hua (2023). Automatic traffic flow anomaly detection with reinforcement learning. Transportation Research Board Annual Meeting, Washington, DC USA, 8-12 January 2023. |
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2023 Journal Article Estimating link flows in road networks with synthetic trajectory data generation: inverse reinforcement learning approachZhong, Miner, Kim, Jiwon and Zheng, Zuduo (2023). Estimating link flows in road networks with synthetic trajectory data generation: inverse reinforcement learning approach. IEEE Open Journal of Intelligent Transportation Systems, 4, 14-29. doi: 10.1109/ojits.2022.3233904 |
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2022 Journal Article An efficient algorithm for maximum trajectory coverage query with approximation guaranteeHe, Dan, Zhou, Thomas, Zhou, Xiaofang and Kim, Jiwon (2022). An efficient algorithm for maximum trajectory coverage query with approximation guarantee. IEEE Transactions on Intelligent Transportation Systems, PP (99), 1-13. doi: 10.1109/tits.2022.3207499 |
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2022 Conference Publication A cooperative eco-driving system for mixed traffic on urban roadsYang, Zhiwei, Zheng, Zuduo, Kim, Jiwon and Rakha, Hesham (2022). A cooperative eco-driving system for mixed traffic on urban roads. Australasian Transport Research Forum, Adelaide, 28-30 September 2022. |
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2022 Conference Publication Online traffic incident prediction with hybrid graph-based neural network and continual learningTran, Thanh, He, Dan, Kim, Jiwon and Hickman, Mark (2022). Online traffic incident prediction with hybrid graph-based neural network and continual learning. Australasian Transport Research Forum, Adelaide, SA Australia, 28-30 September 2022. |
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2022 Conference Publication Threshold-free anomaly detection on traffic flow data with reinforcement learningHe, Dan, Ruan, Boyu, Kim, Jiwon and Shi, Hua (2022). Threshold-free anomaly detection on traffic flow data with reinforcement learning. Australasian Transport Research Forum, Adelaide, SA Australia, 28-30 September 2022. |
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2022 Journal Article Transformer-based map-matching model with limited labeled data using transfer-learning approachJin, Zhixiong, Kim, Jiwon, Yeo, Hwasoo and Choi, Seongjin (2022). Transformer-based map-matching model with limited labeled data using transfer-learning approach. Transportation Research Part C: Emerging Technologies, 140 103668, 103668. doi: 10.1016/j.trc.2022.103668 |
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2022 Journal Article A comprehensive analysis on the effects of signal strategies, intersection geometry, and traffic operation factors on right-turn crashes at signalised intersections: an application of hierarchical crash frequency modelManirul Islam, Sheikh, Washington, Simon, Kim, Jiwon and Haque, Mazharul (2022). A comprehensive analysis on the effects of signal strategies, intersection geometry, and traffic operation factors on right-turn crashes at signalised intersections: an application of hierarchical crash frequency model. Accident Analysis and Prevention, 171 106663, 106663. doi: 10.1016/j.aap.2022.106663 |
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2022 Journal Article Targeted advertising in the public transit network using smart card dataFaroqi, Hamed, Mesbah, Mahmoud, Kim, Jiwon and Khodaii, Ali (2022). Targeted advertising in the public transit network using smart card data. Networks and Spatial Economics, 22 (1), 97-124. doi: 10.1007/s11067-022-09558-9 |
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2022 Conference Publication Multivariate time-varying Kalman filter approach for cycle-based maximum queue length estimationAbewickrema, Wanuji, Yildirimoglu, Mehmet and Kim, Jiwon (2022). Multivariate time-varying Kalman filter approach for cycle-based maximum queue length estimation. Australasian Transport Research Forum, Adelaide, SA, Australia, 28-30 September 2022. |
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2021 Journal Article TrajGAIL: Generating urban vehicle trajectories using generative adversarial imitation learningChoi, Seongjin, Kim, Jiwon and Yeo, Hwasoo (2021). TrajGAIL: Generating urban vehicle trajectories using generative adversarial imitation learning. Transportation Research Part C: Emerging Technologies, 128 103091, 103091. doi: 10.1016/j.trc.2021.103091 |
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2021 Journal Article Joint prediction of next location and travel time from urban vehicle trajectories using long short-term memory neural networksSun, Jie and Kim, Jiwon (2021). Joint prediction of next location and travel time from urban vehicle trajectories using long short-term memory neural networks. Transportation Research. Part C: Emerging Technologies, 128 103114, 103114. doi: 10.1016/j.trc.2021.103114 |
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2021 Journal Article Assessing traffic disturbance, efficiency, and safety of the mixed traffic flow of connected vehicles and traditional vehicles by considering human factorsSharma, Anshuman, Zheng, Zuduo, Kim, Jiwon, Bhaskar, Ashish and Mazharul Haque, Md. (2021). Assessing traffic disturbance, efficiency, and safety of the mixed traffic flow of connected vehicles and traditional vehicles by considering human factors. Transportation Research Part C: Emerging Technologies, 124 102934, 1-21. doi: 10.1016/j.trc.2020.102934 |
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2021 Conference Publication Joint prediction of next location and travel time from urban vehicle trajectories using long short-term memory neural networksSun, Jie and Kim, Jiwon (2021). Joint prediction of next location and travel time from urban vehicle trajectories using long short-term memory neural networks. Transportation Research Board Annual Meeting, Washington, DC, United States, 25-29 January 2021. |
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2021 Conference Publication Estimating link flows from limited traffic volume and sparse trajectory data: reinforcement learning approachesZhong, Miner, Kim, Jiwon and Zheng, Zuduo (2021). Estimating link flows from limited traffic volume and sparse trajectory data: reinforcement learning approaches. Transportation Research Board Annual Meeting, Washington, DC, United States, 25-29 January 2021. |
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2021 Conference Publication Car following modelling with constrained generative adversarial imitation learningLin, Lin, Kim, Jiwon and Ahn, Sanghyung (2021). Car following modelling with constrained generative adversarial imitation learning. Australasian Transport Research Forum, Brisbane, QLD, Australia, 8-10 December 2021. |
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2021 Conference Publication Network-wide traffic simulation with multi-agent imitation learningSun, Jie and Kim, Jiwon (2021). Network-wide traffic simulation with multi-agent imitation learning. Australasian Transport Research Forum, Brisbane, QLD, Australia, 8-10 December 2021. |
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2021 Conference Publication Data-driven traffic incident prediction with hybrid graph-based neural networkTran, Thanh, He, Dan, Kim, Jiwon and Hickman, Mark (2021). Data-driven traffic incident prediction with hybrid graph-based neural network. Australasian Transport Research Forum, Brisbane, QLD, Australia, 8-10 December 2021. |
